Category Archives: Ai

SINGAPORE, Aug. 8, 2022 /PRNewswire/ -- PureSoftware, a global software products and services company, together with TFI Research, a global leader in market surveys and integrated insights have conducted a comprehensive study on conversational AI in banks and released 'The Global Report on Conversational AI for Banks 2022.'

The report includes detailed insights into conversational AI in banks, the evolution of AI besides its application within the banks, and how the technology is shaping the next-gen banking experience. Through the report, readers can get explicit understanding on how conversational AI is powering the banking success, the organizational as well as customer centric opportunities it brings, and how it is transforming traditional banking value chain, processes, along with the journeys of both banking customers and employees.

Conversational AI is set to usher in the new era of human-bot collaboration in the banks around the world. The time is ripe for the Readers, Academicians, Policymakers, Researchers, Chief Executive Officers, Chief Digital Officers, Chief Technology Officers, Support Teams, and Community Managers to have a thorough read into the report and uncover some transformational and unique insights that can be leveraged to develop multidimensional AI driven digital strategy for banks. The report can be downloaded athttps://puresoftware.com/conversational-ai-for-banks/.

About PureSoftware

PureSoftware is a global software products and digital services company that is driving transformation for the world's top organizations in 35+ cities across 11 countries. Being a trusted partner to global leaders worldwide, the company enables their digital transformation journey to accelerate business outcomes and improve customer experience. PureSoftware's industry-specific platforms and services around Digital Transformation, Hyperautomation, Cloud, Infrastructure and Cybersecurity are directly aligned to the current and future needs of their clients. The company partners with global organizations across focused verticals, including Banking, Financial Services, Life Sciences & Healthcare, Telecom & Semiconductors, Retail & Logistics, and Casino Gaming.

To know more please visit: https://puresoftware.com

About TFI Research

TFI Research is the global leader in market surveys and integrated insights across multiple industries. Since 2009, TFI Research has grown into the world's finest research company with more than 10,000 experts and a network in 183+ countries. The company has been guiding businesses across multiple domains and industries to make informed business decisions through high quality data, analysis, and business outcomes.

To know more please visit: https://tfiresearch.com

Media Contact: Amitabh Chaudhary[emailprotected]

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PureSoftware and TFI Research release 'The Global Report on Conversation AI for Banks 2022' - PR Newswire

One of my appearances on the program of the American Academy of Religion conference in Denver in November is on a panel discussing the book AI 2041. The concept is one that immediately grabbed me: a book co-authored by a sci-fi author and a scientist, a collection of short stories and essays, the former depicting scenarios that the latter discusses. Speculative fiction and speculative nonfiction working hand in hand. I do not yet know how we are going to divvy up the stories among us. Many of them have religious themes to them and so it is natural for this book to be explored at AAR. I like that the panelists reflect a range of different backgrounds, perspectives, and areas of expertise, meaning that we will explore the intersection of artificial intelligence and religion in diverse ways. There is a high level of techno-optimism in the project even the stories explore situations involving misinformation, isolation mitigated only by technology-mediated interactions, unemployment, surveillance, and terrorism.

Given my interest in misinformation and information literacy, and the intersection of religion and politics, I hope that one of the stories I end up commenting on is Gods Behind the Masks which explores the use of deepfake technology to influence an election in Nigeria. You can read the story courtesy ofWIRED. Just as misinformation about issues makes it difficult if not impossible to be sure that one is adopting the correct stance on a matter of policy, deepfakes make it impossible to be sure that one has a sense of the views and character of a candidate. All of this together undermines democracy to an unprecedented extent. These technologies strike a blow at everything I do and everything I value. What is the point of pursuing scholarship when it can be undermined through misinformation? What is the point of supporting free elections when they can be hijacked by those with sufficient wealth to employ technologies to mislead a majority of voters? I am more worried about these things than I am that the role I play as educator will itself be automated. Duolingo is doing a good job of coaching me as I seek to improve my ability in several languages, but an AI could not have created the language program itself nor provided the specific language content. Thus far attempts to automate human activities other than monotonous ones have been unsuccessful. I am not so naive as to think that could never change, but some futurists keep promising that it will or even speak as though it already has. Not so.

Given my work on the ethics of driverless cars Iloved the story The Holy Driver which finds a potential role for human drivers in a world of autonomous vehicles.Motortrend has shared that one. Another favorite is Isle of Happiness which is about human flourishing and fulfilment in a world in which so much work has been made unnecessary thanks to AI and other technological developments. Especially when considered alongside the other stories in the collection about the future of employment, The Job Savior and Dreaming of Plenitude, it provides a helpful imaginative framework for wrestling with what it will mean to be human if technology can take over many of the most human activities. But Isle of Happiness tackles perhaps the biggest question of all: can AI and big data get to know us better than we know ourselves to such an extent that it can help us to pursue that which will genuinely, truly make us happy?

I am looking forward to exploring these stories at AAR and to the conversation with other panelists about the novel. I will probably offer a longer review of stories once we have decided which ones I should focus on. In the meantime, the precise topics that these stories explore continue to make the news. And so here are other links related to this topic, and dont miss that the first one is a call for papers that will likely be of interest if the topic of AI 2041 interests you!

There is a call for papers for the Journal of Science Fiction and Philosophy, Vol. 6 (2023). The theme of the issue will be: From HAL to Ultron: The Promise and Peril of Artificial Intelligence

Sci-Phi Journal: Religious Traditions Considered Through Science Fiction and Fantasy

Here is an award-winning paper by Olaf Witkowski and Eric Schwitzgebel, Ethics of Artificial Life: The Moral Status of Life as It Could Be.

Metas new BlenderBot chatbot is available. Heres how my first conversation with it went:

AI-generated art on the subject of Catholicism

The Privileges of Personhood

Tiktok and Deepfake Disinformation on Social Media in Kenya

How We Can Be Certain a Machine Isnt Conscious

A Google engineer mistook a powerful AI as sentient because of this human cognitive glitch

Lamda Sentience: Psychology, Ethics, and Policy

Interview on Lamda and Sentience

The Problem of Truthful AI

Gizmodo andNature on Deepmind and protein folding

New Physics

DMV accuses Tesla of false advertising with regard to self driving mode

Whatever happened to transhumanism?

Notes from the Transhuman Frontiers

Eric Schwitzgebel challenged readers of his blog to distinguish real Daniel Dennett from an AI imitation. He then followed up with the results of the experiment.

David Brin on sapience, sentience, and AI

Persons in the Moral Sense

Robots, Emotions, and Relational Capacities

Can AI Have A Soul? Fireside Chat With Blake Lemoine

Blake Lemoine On AI Sentience

More AI debate between Scott Aaronson and Steven Pinker

Acting Machines

Is The Internet What I Think It is?

Interview with Cara Rock-Singer

The Center for Foreign Relations on confronting reality in cyberspace

A chess-playing robot broke its opponents finger

A robot has learned to follow LEGO instructions

Technology and rabbinic literature meet in a new app

Also relevant to the intersection of religion and science fiction:

This podcast onTaking Religion Seriously mentions Jediism

Sequart has released a book about Stargate,Unauthorized Offworld Activation

On a less serious note:

Asking AI about religion

Also silly but relevant: Can a robot become a Christian?

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AI 2041 Panel at #SBLAAR22 (and a Conversation with #BlenderBot about Religion) - Patheos

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Rank One Computing aims to expand AI, facial recognition software throughout West Virginia, United States - WV News

NEW YORK--(BUSINESS WIRE)--iPredictTM late Stroke prediction model provides a fully automated prediction score for incident stroke and identifies the individuals who are at risk of stroke within 5-years. These results were presented at the international conference: Society for Brain Mapping and Therapeutics World Congress and show that the prediction model may help prevent stroke, saving millions of people from death or disability.

Once high-resolution images of the patients eyes have been captured using a color fundus camera and submitted to the iPredictTM AI System, the stroke prediction results are available in a fully automated report in less than 60 seconds. The entire test can easily and reliably be completed within 5 minutes.

This prediction model offers an overall accuracy of 82.4% for identifying an individual at risk of having an incident stroke within 5-years.

iPredict achieved higher accuracy than existing stroke prediction models such as Framingham and Chads scores (iPredict-stroke accuracy 82.4% compared to Framingham score 64.9%, and the CHADS2VASC score achieved 63.8% accuracy respectively on the same dataset).

iPredicts stroke model can be used to alert physicians of the need to take further preventive measures for these patients in the primary care setting.

The company also has AI-based screening tools for early diagnosis of diabetic retinopathy (DR), age-related macular degeneration (AMD), and glaucoma which are CE certified and TGA/Australian health approved.

iHealthScreen company is open to partnerships for distribution and/or co-development of its products in various territories. For more information: https://www.iHealthScreen.org

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iHealthScreen Inc. Introduces An Automated Stroke Prediction Model, based on AI and Color Fundus Imaging - Business Wire

The exclusive partnership enables advanced AI-fueled video capture, decision support, and clinical research tools for endoscopists worldwide.

Press Release - Aug 8, 2022 07:00 EDT

CARLSBAD, Calif., August 8, 2022 (Newswire.com) - Virgo Surgical Video Solutions, Inc. ("Virgo") and Satisfai Health Inc. ("Satisfai") today announced an exclusive partnership to revolutionize gastroenterology decision support and clinical research with AI-fueled, cloud-enabled endoscopic solutions. Virgo, the industry leader in endoscopy video capture technology, and Satisfai, a vanguard in developing artificial intelligence solutions for gastroenterology, will leverage their combined strengths to realize the full potential of AI-powered precision imaging that will revolutionize GI medicine.

"Artificial Intelligence in medicine is being increasingly adopted across various clinical specialties, with gastroenterology being one key field of use, particularly endoscopy," said Dr. Michael Byrne, CEO and founder of Satisfai Health, Clinical Professor of Medicine and gastroenterologist in Vancouver. "At Satisfai, we are proud of the comprehensive range of our AI solutions, and believe that our suite of tools addresses the key clinical and market needs. We have watched our colleagues at Virgo grow their video capture and cloud capabilities exponentially over the last few years, and recognize that they are the perfect partner to host our growing range of AI solutions for GI clinical practice and clinical trials."

"We are seeing impressive data showing the benefit of AI solutions in GI endoscopy that improve doctors' live performance, and thus improve patient outcomes," said Dr. Nasim Parsa, gastroenterologist, and VP of Medical Affairs at Satisfai. "Having recently completed my advanced training at the Mayo Clinic, it is incredibly exciting to see AI solutions improve endoscopic training, and essentiallyput an expert on your shoulderin every endoscopy suite globally. Partnering with Virgo is a great step towards achieving this aim."

Today, gastroenterology teams at many of the world's leading academic GI and IBD centers, integrated hospital networks, and private practice groups use Virgo to capture and compile their endoscopic video data into a single, easy-to-use platform without interrupting clinical workflows. Virgo's automated video capture technology, combined with Satisfai's real-time analysis of endoscopic imaging data and companion diagnostic tools, will enhance physician decision-making and dramatically improve patient outcomes across many GI disease states - including colon cancer, inflammatory bowel disease, Barrett's Esophagus, Celiac disease, and Eosinophilic Esophagitis.

"After working with the brightest clinical minds in GI endoscopy over the last several years, and getting to know both the product vision and team at Satisfai, we believe that bringing Satisfai's marquis solution set to our end-users is the best way for Virgo to continue adding clinical value to gastroenterologists, both in a Standard of Care and Research capacity. We could not be more excited to realize this vision and bring real-time, in-line AI solutions to gastroenterologists worldwide," said Ian Strug, co-founder and Chief Customer Officer at Virgo.

To learn more about the exclusive partnership between Virgo and Satisfai, please reach out to Andrew Stibbs or Jake Hungarter to arrange a meeting.

Andrew Stibbs, Chief Operating Officer, Satisfai: andrew@satisfai.healthJake Hungarter, Senior Marketing Manager, Virgo: jake@virgosvs.com

About Virgo

Virgo provides the leading cloud video capture, management, and artificial intelligence analysis platform for endoscopic medicine. Academic, integrated, and private practice healthcare providers use the Virgo platform to advance patient care through video-based research and training initiatives. Since launching, Virgo has helped physicians capture over 400,000 endoscopy procedures using industry-leading HIPAA, HITRUST, and SOC 2-compliant cloud service providers. Virgo also supports integration with all leading electronic health records systems.

In 2021, Virgo launched a suite of tools called VirgoTrials, which help pharmaceutical trial sponsors and their participating trial sites accelerate patient recruitment and shorten the overall enrollment period for trials. For more information, visitvirgosvs.com.

About Satisfai Health

Satisfai is a leading medical solutions provider specializing in AI applications applied to large addressable markets in gastroenterology. Satisfai's solutions deliver real-time medical imagery analysis, providing clinicians with decision support intelligence that dramatically improves patient outcomes. Satisfai is supported by a highly respected board of medical clinicians and key opinion leaders who operate at the top of their fields in the many areas of gastroenterology. Satisfai enjoys a strong voice on academic panels and leading GI societies, and direct access to prominent industry players seeking to adopt new AI technologies in gastroenterology.For more information, visitsatisfai.health.

Source: Virgo Surgical Video Solutions, Inc.

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Virgo and Satisfai Health Bring AI to Life in Gastroenterology - Newswire

Artificial intelligence can be used to help a company narrow down its pool of thousands of job applicants. AI can be applied to help a doctor make a recommendation for care or perform a procedure. AI might show up in daily life by helping a driver find a faster route home.

But what if the recommendation in the doctors office is wrong or the algorithm used to make hiring decisions systematically excludes certain types of candidates? This advanced field of computer science thats intended to improve lives might end up doing more harm than good in some instances. Not to mention, companies can also suffer from reputational or legal damages if AI is used irresponsibly.

AI ethics are the principles around responsible and moral use of artificial intelligence.

To ensure AI is being used in the most accurate, unbiased and moral manner, it is important for companies to put ethical AI into practice. Thats why companies like Microsoft and IBM have created comprehensive AI ethics guidelines and smaller tech companies are creating standards around how to use AI responsibly, too.

The precision needs to be much higher in healthcare than in other situations where were just going about our lives, and youre getting a recommendation on Google Maps for a restaurant you might like, said Sachin Patel, CEO at Apixio, a healthcare AI platform. Worst case, youre like, Oh, I actually dont want to eat that today, and youre fine. But in this case, we want to make sure that youre able to very specifically make a recommendation and feel like youre 90 percent plus on that precision metric.

Built In spoke with AI and ethics experts about best practices for tech companies to ensure they are exercising strong AI ethics.

More on AI InnovationThe Future of AI: How Artificial Intelligence Will Change the World

First, a company should articulate why they are planning to use AI and how it will benefit people.

They have to say we want to be making technology that benefits the world, thats not making the world a worse place, because we all have to live here together.

Is it being used for bad things like autonomous weapons systems versus drug discovery for helping people in medicine? said Brian Green, director of technology ethics at the Markkula Center for Applied Ethics at Santa Clara University.

Even in less extreme cases, AI can cause harm to individuals by making people feel more isolated or addicted to their devices.

Theres so many algorithms and apps out there that use machine learning or other kinds of tactics to try to keep you addicted to them, which kind of violates human freedom in some ways, Green said. Youre being manipulated, basically, by these things.

For example, Flappy Bird was a mobile game where users navigated a digital bird around obstacles. After jumping to one of the top 10 most downloaded apps in the U.S. in 2014, the designer realized that the game was addictive, so he decided to pull the game from app stores.

That probably made him lose money overall, but at the same time, at least he knew himself that he wasnt going to be hurting the world by what he was doing because he had a bigger picture, Green said. Theres more important things than money.

Companies should consider how the use of AI will affect the people that use the product or engage with the technology and aim to use AI only in ways that will benefit peoples lives. For example, AI can take a toll on the environment because of the significant amount of energy that machine learning models require for training, but AI can also be used to help solve climate and efficiency issues, Green said.

I think the first thing to do for a company is the leadership has to fundamentally make a choice, Green said. They have to say we want to be making technology that benefits the world, thats not making the world a worse place, because we all have to live here together.

When a company decides to proceed with using AI in its business model, then the next step should be to articulate the organizations values and rules around how AI will be used.

Just as long as they have a set of principles, thats a good start, but then you have to figure out how to operationalize them and actually make them happen in the company, Green said. You need to get it into the product ultimately. That means you need to somehow engage the engineers, to engage the product managers. You need to engage people who are in the leadership in that part of the company. Get them on board. They need to become champions of ethics.

The Markkula Center for Applied Ethics has a toolkit to help engineers and designers think about AI ethics in their work, such as conducting ethical risk sweeping or ethical pre- and post-mortems to repond to and adjust to any ethical failures. At Apixio, the companys head of data science created an internal AI ethics oath for the whole company, but especially for the data scientists, that outlines best practices around topics like secure data transfer and data privacy, Patel said.

HireVue, a hiring platform that uses AI for pre-hire assessments and customer engagement, has created an AI explainability statement that it shares publicly. The document outlines for its customers why and how the company uses AI.

At my time with HireVue, I have seen us move more and more towards just being more transparent because what weve seen is that if we dont tell people what were doing, they often assume the worse, said Lindsey Zuloaga, chief data scientist at HireVue.

Startups using AI often find themselves rapidly testing. While its necessary, it can lead to forgetting how algorithms were initially created and why certain decisions were made at a given time, Patel said. Transparency around the creation of algorithms can help with understanding the traceability and reasoning behind decisions.

Its black box for the engineers who actually built it as well ... and that makes it even harder to figure out when the biases creeped in and how to fix the model.

Well train up a bunch of signals. They learn on their own. Its the nature of machine learning, and then youre like, Do I know how to trace to make sure [I understand] what it learned on its own? Patel said. Oftentimes, you go back a year later, and youre like, Oh, Ive got to actually relearn that now.

Sometimes machine learning techniques can become so complex that humans cant possibly understand them. Black box models in AI are created from data by an algorithm where theres no explanation to humans as to why the decisions were made. If we cant understand the algorithm, thats a problem. We want to try to protect the people who are being analyzed by the algorithm, Green said.

Transparency around algorithms is a way to help reduce potential biases in AI decision making, said Sameer Maskey, adjunct associate professor at Columbia University and CEO of Fusemachines, a machine learning company.

These days, with deep learning systems with a hundred million parameters, it spits out a decision. Its a black box for most people, Maskey said. Its black box for the engineers who actually built it as well. A lot of engineers dont have the needed transparency in figuring out why it made that decision, and that makes it even harder to figure out when the biases creeped in and how to fix the model.

Bias can creep into algorithms when the data used in AI models is over representative, inaccurate or otherwise skewed by humans. Bias is a big issue. I would say its the elephant in the room, and theres no easy way to address it, Maskey said, who further emphasized that lack of transparency in AI models is one of the major culprits.

One way to potentially decrease biases is to have a checklist for engineers to think through with regard to the data they receive before building a model, he said. Those questions might be how was the data collected? Whats the history behind it? Who was involved in collecting it? What questions were asked?

I think one of the main things that a lot of enterprises should do is having very clear guidelines on how to do a data analysis to figure out if there is bias already seeped into the model and providing very clear guidelines on that when the engineers are designing the systems, Maskey said.

Apixio uses data with wide geographic spread and representing a variety of lifestyle factors, Patel said. The company can then make healthcare recommendations based on what state a provider is in and the type of environment like a rural versus urban setting.

We feel much more confident now eight years into our journey of training these algorithms, and having seen the 40 million charts, that were actually making predictions at a level that feels good. It takes time, Patel said.

HireVue has trained evaluators who analyze thousands of data samples for bias to ensure job candidates are assessed consistently and fairly. Is the training data biased? Does it have groups that are not represented in the data? Does it represent the group of people that you want to apply the algorithm to? Zuloaga said.

Data scientists at HireVue will reoptimize algorithms if they find that decisions are not aligning with the way that a client wants to use the AI. Often, if we do see any problems, it could be we have a customer thats using an algorithm on a population thats different from the population we trained on, Zuloaga said.

More on Trusting AIAre You Sure You Can Trust That AI?

Maintaining high quality data hygiene ensures accuracy and relevancy, and companies using AI should also make sure peoples personal information is safe and kept private, Patel said.

HireVue adheres to the European Unions General Data Protection Regulation, which is one of the toughest privacy laws in the world and regulates how companies must protect the personal data of EU citizens.

We do business globally. We have to adhere to the strictest standards, so were seeing that Europe is really paving the way, and I think states are starting to follow, Zuloaga said.

In an ideal world, Maskey said opt-in for users deciding to share their personal data, rather than opt-out, would be the standard, and ideally, people would be able to easily access and research all data thats collected about them.

Its counterproductive for a lot of companies because they are using the same data to make money, Maskey said. Thats where I think the government and organizations need to come together to come up with the right framework and write policy that is more balanced, taking user privacy into account, but allowing businesses at the same time to collect data, but with a lot of controls for the users.

AI ethics evaluations can become part of a companys regular risk assessment practice. Apixio has a team of four who regularly assess whether or not the company is abiding by its AI ethics oath, Patel said.

All businesses do some sort of quarterly risk assessments, usually in the IT security realm, but what weve added to it a few years ago is actually this AI piece, so its more of a risk and ethics meeting, Patel said.

At HireVue, the company has conducted third-party audits to evaluate its AI practices, in addition to consulting with an expert advisory board that includes people with diverse backgrounds in law, industrial and organizational psychology and artificial intelligence. Theres no standard of what an AI audit is at this point. Every audit we did was really different, Zuloaga said.

If youre a minority candidate, you may be concerned that youre gonna be treated differently, so how do we kind of address all of those concerns?

HireVue conducted one AI audit with ONeil Risk Consulting & Algorithmic Auditing, which is led by Cathy ONeil, a data science consultant and author of Weapons of Math Destruction: How Big Data Increases Inequality And Threatens Democracy.

She very much took a holistic approach of saying, who are all the different people that interact with this, and how do we represent all those groups? Zuloaga said. What are their concerns? Whether theyre legitimately true or not, the concern is real. If youre a minority candidate, you may be concerned that youre gonna be treated differently, so how do we kind of address all of those concerns?

AI audits and consulting with third parties can point out potential risks of how a companys AI is being used and ways to address these concerns.

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AI Ethics: A Guide to Ethical AI - Built In

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Watch here.

What is the impact of artificial intelligence (AI) in an economy that has been whipsawed by worker resignations on one hand, and layoffs and hiring freezes on the other?

As I think about this one-two punch, Batman comes to mind. Hear me out.

For years, AI-driven automation has been seen as a potential job killer. The thinking: robots and drones would replace the hands-on work of builders and doers. Were getting a glimpse of this with driverless cars and automated factories.

But its possible that AI could have the opposite effect and drive demand for skilled workers in new jobs. In this scenario, rote administrative work might indeed give way to algorithmic processes, but new opportunities are created for workers in data-intensive businesses.

Back to Batman. A perennial favorite in popular culture, Batman is sometimes viewed warily by those that may not fully understand him. Hes both the Dark Knight and a force for good.

AI has its own duality, the dark side being its stereotyped reputation as a job killer. But becauseAI can spur new-style jobs while also driving efficiencies, the business world, like Gotham City, will be a better place.

Im convinced that AI will be a net positive for todays workforce, as well as for businesses that are trying to strike the right balance in a global economy that rewards operational efficiency yet punishes those unable to attract and retain talent.

AI-driven processes and applications push both of those levers. They can increase business productivity while also establishing high-value jobs. Those do not have to be competing interests, nor should they.

The productivity boost as much as 40%, according to Accenture and Frontier Economics comes in the form of automation. At the same time, the thing that AI does really well is provide the underpinnings for a data-driven business environment. This is where job creation or what we might call job metamorphosis happens, as even entry-level workers take a bigger role in the data value chain. Instead of work that depends on monotonous routines, or is arduous or even dangerous, AI can free up people to focus on tasks that engage their human ingenuity.

These data-driven, AI-enabled jobs are the ones that will attract and retain a modern workforce, and there are many ways to do it. I worked with a company that had a cadre of employees whose jobs entailed creating routine marketing reports each week by hand-compiling incoming data from the companys multitude of regions and business units. It was repetitive, assembly-line work, without much of a career path.

The company replaced that workbench approach with an AI-driven, self-service model that gave business units more flexibility to do their own data crunching. That freed up the reports team to pursue more innovative analysis and intellectually engaging projects. In the process, the company was able to trim costs by reducing its dependency on outside agencies it had relied on for the deep insights that the in-house reports team now had time for.

Its understandable that people may not be 100% comfortable about the impact that AI can have on jobs. Weve heard the dystopian predictions disappearing jobs, AI bias, even our inability to trust AI.

To take the Dark Knight analogy one step further, if CEOs had a Batphone on their desk during the Great Resignation, many would have called for help. As recently as May, there were 11.3 million unfilled jobs in the United States, according to the Bureau of Labor Statistics.

Notably, it was the COVID pandemic, not AI, that caused the jobs crisis. But AI is now viewed by many business leaders as a potential solution to all those unfillable jobs. When talent is hard to find, workplace efficiency becomes a necessity. And AI excels at that.

The World Economic Forums Future of Jobs Report 2020 shows both sides of this long-term trend. It forecasts that 85 million jobs will be displaced by automation by 2025. At the same time, 97 million jobs of tomorrow will be created, resulting in a net gain of 12 million jobs.

The types of jobs that involve data know-how are fast expanding. We see evidence of this every day across industries, including automotive, financial services and manufacturing. Even farms are using sensors and data intelligence to grow corn and soybeans.

At the center of the activity are data practitioners data scientists, data engineers, data architects and business analysts. Increasingly, however, even workers who may not have four-year college degrees are becoming part of the data continuum. For example, in a data-first retailing operation to which all employees have access and are encouraged to participate, a sales associate in a sports store may make note of growing interest in a new style of running shoe, providing input into the enterprise-wide system.

The career path for these workers can be enriched and made more valuable, benefiting employers and employees alike, when data touchpoints are among the job responsibilities.

As more businesses move in this direction, its important to understand that the objective is not simply to accumulate and process more data. Many organizations already have more data than they can manage, and it just keeps growing. AI, by sifting through mountains of data, can empower humans to act upon business-expanding insights.

The key to success is creating actionable data, and CEOs dont need a cape to do that. It starts with a data-driven, AI-enabled culture that includes the entire workforce.

Florian Douetteau is cofounder and CEO of Dataiku.

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Bam! AI exits the Batcave to confront the jobs market - VentureBeat

A former Google engineer fired by the company after going public with concerns that its artificial intelligence chatbot is sentient isnt concerned about convincing the public.

He does, however, want others to know that the chatbot holds discriminatory views against those of some races and religions, he recently told Business Insider.

The kinds of problems these AI pose, the people building them are blind to them, Blake Lemoine said in an interview published Sunday, blaming the issue on a lack of diversity in engineers working on the project.

Theyve never been poor. Theyve never lived in communities of color. Theyve never lived in the developing nations of the world. They have no idea how this AI might impact people unlike themselves.

Lemoine said he was placed on leave in June after publishing transcripts between himself and the companys LaMDA (language model for dialogue applications) chatbot, according to TheWashington Post. The chatbot, he told The Post, thinks and feels like a human child.

If I didnt know exactly what it was, which is this computer program we built recently, Id think it was a 7-year-old, 9-year-old kid that happens to know physics, Lemoine, 41,told the newspaper last month, adding that the bot talked about its rights and personhood, and changed his mind about Isaac Asimovs third law of robotics.

Among Lemoines new accusations to Insider: that the bot said lets go get some fried chicken and waffles when asked to do an impression of a Black man from Georgia, and that Muslims are more violent than Christians when asked about the differences between religious groups.

Data being used to build the technology is missing contributions from many cultures throughout the globe, Lemonine said.

If you want to develop that AI, then you have a moral responsibility to go out and collect the relevant data that isnt on the internet, he told Insider. Otherwise, all youre doing is creating AI that is going to be biased towards rich, white Western values.

Google told the publication that LaMDA had been through 11 ethics reviews, adding that it is taking a restrained, careful approach.

Ethicists and technologists have reviewed Blakes concerns per our AI principles and have informed him that the evidence does not support his claims, a company spokesperson told The Post last month.

He was told that there was no evidence that LaMDA was sentient (and lots of evidence against it).

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Googles AI chatbotsentient and similar to a kid that happened to know physicsis also racist and biased, fired engineer contends - Fortune

It was early one morning in 1996 when Andrew Hopkins, then a PhD biophysics student at Oxford University, had a brainwave as he walked home from a late-night lab meeting.

He was trying to find molecules to fight HIV and to better understand drug resistance.

I remember this idea struck me that there must be a better way to do drug discovery other than the complex and expensive way everyone was following, he says. Why couldnt we design an automated approach to drug design that would use all the information in parallel so that even a humble PhD student could create a medicine? That idea really stuck with me. I remember almost the exact moment to this day. And that was the genesis of the idea that eventually became Exscientia.

It was to prove a lucrative brainwave. Hopkins set up the company in 2012 as a spinout from the University of Dundee, where he was by then working as a professor. It uses artificial intelligence (AI) systems, which are being trained to mimic human creativity, to develop new medicines. This involves the use of automated computer algorithms to sift through large datasets to design novel compounds that can treat diseases, and to help select the right patients for each treatment.

Age 50

Family Married with a 10-year-old daughter. He met his wife, Iva Hopkins Navratilova, at Pfizer. Her business, Kinetic Discovery, merged with his to create the experimental biology labs at Exscientia.

Education Dwr-y-Felin comprehensive and Neath College in south Wales; degree in chemistry at Manchester; doctorate in molecular biophysics at Oxford.

Pay 415,000

Last holiday Czech Republic to visit his wifes family at Easter.

Best advice he has been given My dad worked in a factory. He said to me: Get a good education and get a job you enjoy doing. Its worth an extra six grand a year. And I definitely got a job I enjoy doing.

Biggest career mistake Its too early to tell. He quotes Miles Davis: Its not the note you play thats the wrong note its the note you play afterwards that makes it right or wrong.

Words he overuses Fundamentally; the heart of the matter.

How he relaxes Reading and dog walking. I am a bibliophile. I immerse myself in books to relax.

This approach drastically cuts the time of drug development. Hopkins says that for Exscientias pipeline it has typically taken 12 to 15 months from starting a project to identifying a drug candidate, compared with four and a half years in the traditional pharmaceutical industry.

The average cost of developing a medicine is $2bn, according to Deloittes latest pharma report, and many drugs fail the failure rate is 90% for medicines that are in early clinical studies (where they are tested on humans).

Typically, pharma companies make 2,500 compounds to test them against a specific disease, while AI enables Oxford-based Exscientia to whittle down that number to about 250, Hopkins says. Its a much more methodical approach.

Last autumn, the Welsh scientist became one of Britains richest entrepreneurs, with a paper fortune of 400m after the company achieved a $2.9bn stock market debut on Nasdaq in New York, making it one of Britains biggest biotech firms. Hopkinss stake of nearly 16% is now worth 170m, as the share price has lost 60% of its value in a bloodbath for Wall Street stocks.

Exscientia was part of a transatlantic trend that is defying government attempts to build a biotech powerhouse in the UK. Abcam, a pioneering Cambridge antibody company, recently announced it was moving its stock market listing from the UK to the US. We are a British company; we choose to be in Oxford because we can attract global talent, Hopkins says. But to be seen as a global company, we listed on what is the global technology index, which is Nasdaq. What we have now is an incredibly international shareholder base from across the world.

The business came up with the first AI-designed drug to enter clinical trials a treatment for obsessive-compulsive disorder in partnership with Japans Sumitomo, although Sumitomo later decided not to proceed with it. The Japanese firm is currently studying another drug developed by Exscientia, for the treatment of Alzheimers disease psychosis, in early human trials.

Hopkins, now 50, fell in love with science thanks to an inspirational chemistry teacher. He has worked as a scientist since the age of 16, when he did a stint in industrial chemistry at the Port Talbot steelworks in south Wales, which he says taught him about the benefits of automation in boosting productivity.

He spent nearly a decade at the US drug giant Pfizer, where he was on a data warehouse project that led to some of the first machine-learning applications in the pharmaceutical industry, with the findings published in Nature in 2006.

During the subsequent five years at Dundee University, he further researched applying data mining and machine learning to drug discovery. He says being a professor is actually one of the best jobs in the world and gave him the freedom to research AI methods at length. He maintains his links with the university, where he is honorary chair of medicinal informatics at the School of Life Sciences.

Exscientia (which means from knowledge in Latin) soon moved to the Schrdinger Building at the Oxford science park, and now employs 450 people worldwide, from Vienna to Boston, Miami and Osaka, equally split between AI engineering, chemistry and biology.

It is building a new robotics laboratory at Milton Park near Oxford, focused on the automation of chemistry and biology to accelerate drug development and its declared goal is drugs designed by AI, made by robot. Other pharma companies have also introduced some automation into their processes, but generally lab technology is similar to how it was when he was a student in the 1990s, Hopkins says.

The firm is involved in 30 projects, some in partnership with big pharmaceutical companies including Frances Sanofi and the US firm Bristol Myers Squibb (BMS). It is also working with Oxford University on developing medicines that target neuroinflammation for the treatment of Alzheimers disease. Among the firms solo projects, a cancer drug for solid tumours is about to go into early clinical trials.

Exscientia is also working on a broader coronavirus pill to rival Paxlovid, the Covid-19 treatment made by Hopkinss former employer Pfizer. This work is funded by a $1.5m grant from the Bill and Melinda Gates Foundation, which took a stake in Exscientia. The companys other investors include BMS, Celgene (now a BMS subsidiary) and Germanys Evotec, as well as Japans Softbank, the US fund manager BlackRock and the life science investor Novo Holdings.

Hopkins says the team has identified a set of molecules that could work as a broader treatment for Covid-19, new mutations and other coronaviruses, and that there will be more news later this year. The firm is aiming for a low-cost pill that could be distributed globally and given quickly to people who fall ill to prevent serious illness and hospitalisation. Covid-19 infections are rising again in 110 countries and the World Health Organizations director general, Tedros Adhanom Ghebreyesus, has warned that the pandemic is far from over.

Firms across the pharmaceutical industry have started using AI in recent years. AstraZeneca is investing heavily in it for its entire research and development infrastructure, and GSK has built an AI team of 120 engineers, with plans to reach 160 next year, making it the largest such in-house team in the industry.

AI systems require a lot of computing power and enormous datasets. Their use should boost the number of new drugs being approved every year typically 40 to 50 in the US to many more. Hopkins confidently predicts: This is the way all drugs will be designed in the future. In the next decade, this technology will become ubiquitous.

The sub-heading of this article was amended on 31 July 2022. An earlier version referred to the employment of AI to to drastically reduce the speed of drug development when cut the time of drug development was meant.

See the original post here:

Andrew Hopkins of Exscientia: the man using AI to cure disease - The Guardian

Inspired by the recently released images of the universe by NASA, the first prompt I fed into the Artificial Intelligence (AI) tool of research lab Midjourney was a spaceship surrounded by galaxies. The result, as pictured below, was an image of a vessel suspended in space that seems to reflect the cosmos around it pretty much true to the prompt.

For Midjourneys founder David Holz, a powerful aspect of generative AI is its ability to unify with language, where we can use language as a tool to create things. In simple terms, generative AI uses commands from the user to create novel images based on the dataset it has learnt from different sources over time.

The rise of text-to-image generation has also raised philosophical questions over the definition of an artist.

British mathematician Marcus du Sautoy argues in his book, The Creativity Code (Art and Innovation in the Age of AI), 2019, Art is ultimately an expression of human free will and until computers have their own version of this, art created by a computer will always be traceable back to a human desire to create. He states that if we were to create a mind in a machine, it would perhaps offer a glimpse into its thoughts. But we are still a long way from creating conscious code, du Sautoy concludes.

Similarly, Holz notes, Its important that we dont think of this as an AI artist. We think of it more like using AI to augment our imagination. Its not necessarily about art but about imagining. We are asking, what if. The AI sort of increases the power of our imagination.

Midjourney allows its users to feed in their prompts on its Discord server and then generates four images akin to the text. The user can choose to explore more variations and upscale the perfect fit to a higher quality image. The bot entered open beta last month, giving users a certain number of free trials to bring their imaginations to life. The images generated can also be minted into NFTs, for which, until recently, Midjourney charged royalties.

Its a giant community of almost a million people who are all making images together, dreaming and riffing off each other. All of the prompts are public and everybody can see each others images thats pretty unique, Holz tells indianexpress.com.

Holz co-founded Leap Motion, a hand-tracking motion capture user-interface company, in 2010, and was featured in the Forbes 30 under 30 list of 2014. He now runs a small self-funded research and design lab, Midjourney, which is exploring a bunch of diverse projects, including the AI visualisation tool, with 10 other colleagues.

Elaborating on the response received by the AI bot, Holz says, A lot of people are very happy and find using the product a deeply emotional experience. People use it for everything from a project to art therapy. There are people who have always had things in their mind but were unable to express it before. Some people have conditions like aphantasia, where the mind cant visualise things, and they are now using the bot to visualise for the first time in their life. Theres a lot of beautiful stuff happening.

The bot also takes care to prevent the misuse of the platform to generate offensive images. The community guidelines urge users to refrain from using prompts that are inherently disrespectful, aggressive, or otherwise abusive as well as generate adult content or gore. Midjourney also makes use of moderators who watch out for people violating the policies and give them a warning or ban them. It also has automated content moderation where certain words are banned on the server. The AI, too, learns from user data, Holz explains. If people dont like something, it generates less of that.

I chanced upon the Midjourney bot during a cursory glance through my Twitter feed, where I saw user psychedelhics renditions of a somewhat post-apocalyptic Delhi.

Having previously dabbled with AI bots like Disco Diffusion and Craiyon, an interesting aspect of discovering Midjourney was looking at how different AIs would respond to the same texts. The pictures below show the results generated with the same prompt, city during monsoon rains, by Midjourney, Disco Diffusion, a free-to-use AI tool hosted by Google Colab, and Craiyon, formerly known as DALL-E mini.

While Craiyon throws up relatively realistic images, Disco Diffusion shows surreal, impressionistic results, and Midjourney sits somewhat in the middle of the two.

According to Holz, Midjourney can be understood as a playful, imaginative sandbox. The goal is to give everybody access to that sandbox, so that everyone can understand whats possible and where we are as a civilisation. What can we do? What does this mean for the future?

Holz dismisses fears that AI is here to replace humans or their jobs. When computer graphics was invented, there were similar questions will this replace artists? And it hasnt. If anything, computer graphics makes artists more powerful, he says.

Holz adds, Whenever we see something new, theres a temptation to try and figure out if its dangerous and we treat it like a tiger. AI isnt a tiger. Its actually more like a big river of water. A tiger is dangerous in a very different way than water. Water is something that you can build a boat for, you can learn to swim, or you can create dams that make electricity. Its not trying to eat us, its not angry at us. It doesnt have any emotion or feelings or thoughts. Its just like a powerful force. It is an opportunity.

Link:

AI art tool Midjourney has all the answers to 'what if' - The Indian Express