Category Archives: Artificial Intelligence

With the advancement in technology, life has become way simpler than it earlier used to be. On the technological front, Artificial intelligence has served to be no less than a savior. Right from controlling the traffic on roads, detecting frauds to assisting the doctors and surgeons in numerous medical procedures, AI has paved the way for all of this. Needless to say, how AI can be put into use to reduce the workload and to address the various issues of the organization is of utmost importance. However, what cannot be overlooked is having a fair idea about the political, social and ethical implications of artificial intelligence.

Now that AI has integrated into our lives like never before, it is high time that we ensure that the technology is employed ethically and that our politics remain democratic. Ensuring that our policies are well informed is equally important as well.

With both, Artificial intelligence and machine learning continue to dominate the world of technology, we have seen massive transformations over the years. Well, not just that. The possibility of this trend to continue for the years to come is high, without a doubt. Considering the fact that these powerful new technologies like AI and machine learning stand a chance of both, improving as well as disrupting human lives, these transformations will have a deep ethical impact. Artificial intelligence offers us, in amplified form, everything that humanity already is, both good and evil. It is therefore important that we pay utmost importance pertaining to how these transitions are made.

Talking about AI ethics, it is worth noting that it has turned a little problematic now. A few key reasons identified in this aspect are

When it comes to AI, one of the most commonly faced questions is whether the AI systems would work as they are promised or will they fail? Issues dont arise when the AI systems work as promised. But what if they fail? On failing, what would be the results of those failures? Is it possible to survive without them if these systems fail? Though paying significant attention to this is important, what is even more important is whether AI stands true to its main purpose to help people lead longer, more flourishing, more fulfilling lives. The fact that there are innumerable instances where AI has left a remarkable positive impact in society makes us believe how good of a technology it is.

On the flip side, there are cases where a perfectly well functioning technology, such as a nuclear weapon, can, when put to its intended use, cause immense evil. What can be concluded from here is that Artificial intelligence can be used maliciously, similar to how human intelligence can be used. So what could be the conclusion then? Well, the technology itself is neutral: only the way we decide to use it in society determines whether it has good or bad effects.

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What are the Implications of Artificial Intelligence? Analytics Insight - Analytics Insight

Roadrunner, the Anthony Bourdain documentary from 20 Feet from Stardom Oscar winner Morgan Neville, takes a page from documentaries like Alex Gibneys Sinatra: All or Nothing at All in allowing the late chef and television personality to narrate his own story through the use of archival audio. Neville and his team culled through over a dozen hours of audio from Bourdains film, TV, audiobook, radio, and podcast appearances. But there are three instances in Roadrunner where Neville needed Bourdain narration that did not exist, so he turned to an artificial intelligence system that could recreate Bourdains voice.

As reported by The New Yorker in a recent interview with Neville: There is a moment at the end of the films second act when the artist David Choe, a friend of Bourdains, is reading aloud an e-mail Bourdain had sent him: Dude, this is a crazy thing to ask, but Im curious Choe begins reading, and then the voice fades into Bourdains own: . . . and my life is sort of shit now. You are successful, and I am successful, and Im wondering: Are you happy? I asked Neville how on earth hed found an audio recording of Bourdain reading his own e-mail.There were three quotes there I wanted his voice for that there were no recordings of, Neville explained. So he got in touch with a software company, gave it about a dozen hours of recordings, and, he said, I created an A.I. model of his voice.'

If you watch the film, other than that line you mentioned, you probably dont know what the other lines are that were spoken by the A.I., and youre not going to know, Neville added. We can have a documentary-ethics panel about it later.

In a separate interview with GQ magazine, Neville confirmed his team fed more than ten hours of Tonys voice into an AI model so that his voice could be recreated. The bigger the quantity, the better the result, the director added. We worked with four companies before settling on the best.

Neville continued, We also had to figure out the best tone of Tonys voice: His speaking voice versus his narrator voice, which itself changed dramatically over the years. The narrator voice got very performative and sing-songy in the No Reservation years. I checked, you know, with his widow and his literary executor, just to make sure people were cool with that. And they were like, Tony would have been cool with that. I wasnt putting words into his mouth. I was just trying to make them come alive.

The decision to use A.I. to recreate Bourdains speaking voice is already generating backlash on social media ahead of the documentarys release. As film critic Sean Burns posted, When I wrote my review I was not aware that the filmmakers had used an A.I. to deepfake Bourdains voice for portions of the narration. I feel like this tells you all you need to know about the ethics of the people behind this project.

Roadrunner opens in theaters July 16 from Focus Features.

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Anthony Bourdain Doc Recreates His Voice Using Artificial Intelligence and 10-Plus Hours of Audio - IndieWire

The government's highly anticipated UFO report was released earlier this month, stopping short of confirming the existence of alien life. With no legitimate confirmation that extraterrestrials walk among us, believers continue to speculate. One of the most prominent of those speculators is Harvard professor Avi Loeb, an astrophysicist who previously hypothesized aliens could have visited Earth as recently as in 2017. Now, the theoretical physicist says we may need to continue fleshing out the planet's artificial intelligence technology should we stand a chance to speak with aliens if they eventually find themselves crashlanded on the planet.

In a new opinion piece shared on Scientific American, Loeb breaks down the steps he'd recommend governmental officials take in trying to communicate with alien life found on this planet. As the physicist explains, the use of artificial intelligence would decrease the chances of any human error during communication, hopefully removing any opportunity to send "mixed messages" to potential alien research vessels or probes.

"Humanity should avoid sending mixed messages to these probes, because that would confuse our interpretation of their response," Loeb writes in his piece.

In April, Loeb wrote a separate piece on the lack of an international structure that would deal with such an "invasion." In the latest piece in the journal, published July 12th, Loeb backs up his previous thoughts.

"Any decision on how to act must be coordinated by an international organization such as the United Nations and policed consistently by all governments on Earth," he adds. "In particular, it would be prudent to appoint a forum composed of our most accomplished experts in the areas of computing (to interpret the meaning of any signal we intercept), physics (to understand the physical characteristics of the systems with which we interact) and strategy (to coordinate the best policy for accomplishing our goals)."

That's when the physicist suggests our best bet would be to send our artificial intelligence to meet with that of the hypothetical alien craft, all in an attempt to minimize errors.

"Ultimately, we might need to employ our own AI in order to properly interpret the alien AI. The experience will be as humbling as relying on our kids to make sense of new content on the internet by admitting that their computer skills exceed ours," Loeb writes. "The quality of expertise and AI might be more important than physical strength or natural intelligence in determining the outcome of a technological battlefield."

You can read Loeb's entire piece here.

Cover photo by Marcos del Mazo/LightRocket via Getty Images

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Harvard Astrophysicist Says We May Need Artificial Intelligence to Speak With Alien Life - ComicBook.com

The Report Lists the Key Companies in the Artificial Intelligence (AI) Chipsets Market: NVIDIA Corporation, Intel Corporation, Xilinx, Inc., Samsung Electronics Co., Ltd., Micron Technology, Inc., Kneron, Alibaba Group Holding Limited, Qualcomm Technologies, Inc., IBM, Alphabet Inc., Microsoft Corporation, Amazon Web Services (AWS), Advanced Micro Devices, Inc. (AMD), General Vision, Inc., Huawei Technologies Co., Ltd., Graphcore Limited, MediaTek Inc., Fujitsu Limited, Wave Computing, Inc., Mythic Inc., Koniku Inc, Tenstorrent Inc., SambaNova Systems Inc, Kalray Corporation, XMOS Limited, GreenWaves Technologies

Pune, India, July 16, 2021 (GLOBE NEWSWIRE) -- The global artificial intelligence (AI) chipsets market size is expected to reach USD 108.85 billion by 2027, exhibiting a CAGR of 38.9% during the forecast period. The increasing implementation of 3D technology along with neural networks & deep learning technologies will promote the healthy growth of the market during the forecast period, states Fortune Business Insights, in a report, titled Artificial Intelligence (AI) Chipsets Market Size, Share & COVID-19 Impact Analysis, By Chipset Type (Graphics Processing Unit (GPU), Field Programmable Gate Arrays (FPGAs), Application-specific Integrated Circuit (ASIC) and Others), By Application (Natural Language Processing (NLP), Robotic Process Automation (RPA), Machine Learning, Computer Vision and Others), By Computing Technology (Cloud Computing and Edge Computing), By Function (Training and Inference), By Industry (Consumer Electronics, Healthcare, BFSI, IT & Telecom, Manufacturing, Automotive, Retail, and Others), and Regional Forecast, 2020-2027. The market size stood at USD 8.14 billion in 2019.

The whole world is battling with the novel coronavirus, leaving numerous industries distraught. The authorities of several countries have initiated lockdown to prevent the spread of this deadly virus. Such plans have caused disturbances in the production and supply chain. But, with time and resolution, we will be able to combat this stern time and get back to normality. Our well-revised reports will help companies to receive in-depth information about the present scenario of every market so that you can adopt the necessary strategies accordingly.

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The report on AI Chipsets Market accentuates:

All-inclusive analysis of the AI Chipsets Market

Dynamic insights into the segments

Extensive data about dominant regions

Key information about prominent players

Latest developments

AI Chipsets Market drivers and restraints

COVID-19 Influence

Regional Analysis:

Emergence of Startup Companies to Propel Market in Asia Pacific

Asia Pacific is expected to dominate the global Artificial Intelligence (AI) Chipsets Market owing to the developing economies such as South Korea, India, China. The growing acceptance of AI-based solutions will foster healthy growth of the market in the region. The government of Singapore has created an AI Ethics Advisory Council as a part of its AI Strategy to deploy AI applications across various industries in 2018.

The strong startup ecosystem is expected to further drive the market in Asia Pacific. Europe is expected to hold the largest share in the global market owing to the presence of AI solution providers in the European countries. The growing focus on R&D investments coupled with the adoption of AI technologies will consequently bolster the growth of the market in Europe. The Middle East and Africa is expected to grow rapidly during the forecast period owing to the smart city initiatives in the region. Ask For Customization: https://www.fortunebusinessinsights.com/enquiry/customization/artificial-intelligence-ai-chipsets-market-104500

Popularity of AI-based Solutions to Boost Market During Coronavirus

The production of AI chipsets has been greatly affected by the coronavirus. According to the index of industrial production (IIP) data, in 2020, the manufacturing sector production registered a decline of 11.1% in July, as covid-19 lockdown slows down the manufacturing process.

However, the demand for such chipsets has improved immensely during the pandemic because of the adoption of AI among various industries. Various industries such as automotive, manufacturing, and others have implemented AI solutions to ease up processes. Besides, the focus on advanced AI-based solutions by prominent players will aid the market amid coronavirus. For instance, in May 2020, Nvidia Corporation expanded its EGX Edge AI platform by introducing new products called the EGX Jetson Xavier NX and EGX A100.

AI Chipset Market Report Scope and segmentation:

Report Coverage

Details

Forecast Period

2020 to 2027

Forecast Period 2021 to 2028 CAGR

38.9%

2027 Value Projection

USD 108.85 Billion

Base Year

2019

Market Size in 2019

USD 8.14 Billion

Historical Data for

2016 to 2018

No. of Pages

160

Segments covered

Chipset Type, Application, Computing technology, Function, Industry

Growth Drivers

Popularity of AI-based Solutions to Boost Market During Coronavirus

Rapid Digital Transformation to Drive CRM Market Growth

Emergence of Startup Companies to Propel Market in Asia Pacific

Pitfalls & Challenges

Lack of Skilled AI Workforce to Inhibiting the Market

Speak To Analyst: https://www.fortunebusinessinsights.com/enquiry/speak-to-analyst/artificial-intelligence-ai-chipsets-market-104500

Key Development:

July 2019: MediaTek Inc. announced the launch of its new AI chipset - "MTK i700" that is featured with high-speed edge AI computation for rapid image recognition, AR applications, smart homes, stores, and factories, etc.

The Report Lists the Key Companies in the Artificial Intelligence (AI) Chipsets Market:

NVIDIA Corporation (California, United States)

Intel Corporation (California, United States)

Xilinx, Inc. (California, United States)

Samsung Electronics Co., Ltd. (Suwon-si, South Korea)

Micron Technology, Inc. (Idaho, United States)

Kneron (California, United States)

Alibaba Group Holding Limited (Hangzhou, China)

Qualcomm Technologies, Inc. (California, United States)

International Business Machines Corporation (IBM) (New York, United States)

Alphabet Inc. (Google LLC) (California, United States)

Microsoft Corporation (Washington, United States)

Amazon Web Services (AWS) (Washington, United States)

Advanced Micro Devices, Inc. (AMD) (California, United States)

General Vision, Inc. (California, United States)

Huawei Technologies Co., Ltd. (Shenzhen, China)

Graphcore Limited (Bristol, United Kingdom)

MediaTek Inc. (Hsinchu, Taiwan)

Fujitsu Limited (Tokyo, Japan)

Wave Computing, Inc. (California, United States)

Mythic Inc. (Texas, United States)

Koniku Inc (California, United States)

Tenstorrent Inc. (Ontario, Canada)

SambaNova Systems Inc (California, United States)

Kalray Corporation (Isere, France)

XMOS Limited (Bristol, United Kingdom)

GreenWaves Technologies (Isere, France)

Quick Buy - Artificial Intelligence (AI) Chipsets Market

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Table Of Content:

Introduction

Key Takeaways

Market Dynamics

Macro and Micro Economic Indicators

Drivers, Restraints, Opportunities and Trends

Impact of COVID-19

Short-term Impact

Long-term Impact

Competition Landscape

Business Strategies Adopted by Key Players

Consolidated SWOT Analysis of Key Players

Porters Five Force Analysis

Global Artificial Intelligence (AI) Chipsets Market Share Analysis and Matrix, 2019

Key Market Insights and Strategic Recommendations

Profiles of Key Players (Would be provided for 10 players only)

Overview

Key Management

Headquarters etc.

Offerings/Business Segments

Key Details (Key details are subjected to data availability in public domain and/or on paid databases)

Employee Size

Key Financials

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Artificial Intelligence (AI) Chipsets Market to Exhibit an Exceptional CAGR of 38.9% by 2027; Implementation of Risk Management Solutions to Intensify...

Mumbai: Five skills, including artificial intelligence and adaptability, can future-proof workforce in a post-pandemic world, according to a global study by Randstad RiseSmart.

Of these skills, which also include creativity, blockchain, and affiliate marketing, artificial intelligence has emerged as one of the hottest skills to have, according to the study which surveyed HR professionals and employees across several regions including India.

"AI's demand is only set to increase as technology adoption continues. Being a highly scientific field, employees seeking to upskill in this area have taken on a pragmatic approach that translates knowledge into real-world skills and helps them develop capabilities to create data sets, build machine learning models, and use Python and/or R programming to deliver measurable results," said Randstad RiseSmart in a statement.

According to the World Economic Forum, 50% of employees worldwide will need reskilling as technology adoption increases, and this need has likely only increased given the pandemic.

The survey findings add adaptability and creativity as the next best skill to have. Having the right know-how and being able to adapt to changing trends, destabilization, industry shifts can make all the difference to how business functions today, and hence will see strong demand from employers. "When the pandemic set in, businesses had to transform their operating models practically overnight. Being able to adapt to changing situations with ease, and in an efficient manner is a sign of a strong leader," Randstad RiseSmart revealed.

Among a global pool of 1,099 HR professionals and 1,142 employees, across eight countries and 20 industries, the survey took into consideration 152 HR professionals and 154 individual employees from India, representing businesses of all sizes.

Also, blockchain, which was initially designed to be a technology to support, Bitcoin has now evolved into a revolutionary means of handling data and doing business in a digital world. As the demand for blockchain technologies in daily operations increases, so has the demand for resources with a strong knowledge of the same. "Within this space, employers have laid emphasis on identifying and recruiting talent with a strong knowledge of understanding cryptography, distributed computing, security, and consensus algorithms," the survey added.

With large-scale unrest and uncertainty in the market, trust between consumers and brands is at an all-time low. In order to remedy this, affiliate marketing is emerging as an important skill today. Being an affiliate marketer involves constantly ideating to solve problems and bring in solutions that will restore customers faith in brands. From research and analytics to planning and executing well-crafted campaigns that deliver measurable results, affiliate marketing has a lot of potentials to change the face of the sales game.

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Artificial Intelligence the hottest skill to have in post-pandemic world: Survey - Mint

Can artificial intelligence be employed to understand the context of computer code and write its own? There have been impressive strides being made in this direction, promising to make the work of developers -- and non-developers working with low-code/no-code platforms -- more productive, and more focused on the business at hand.

Last year, Intel, in conjunction with Massachusetts Institute of Technology and Georgia Institute of Technology, announced the creation of an automated engine designed to learn what a piece of software intends to do by studying the structure of the code and analyzing syntactic differences of other code with similar behavior. The goal of the effort "is to democratize the creation of software," said Justin Gottschlich, principal scientist at Intel. "When fully realized, machine programming will enable everyone to create software by expressing their intention in whatever fashion that's best for them, whether that's code, natural language or something else."

OpenAIGPT-3(Generative Pre-trained Transformer) also can be employed to automatically generate computer code. A development manager could "start things off in the project using a tool with GPT-3 features to build the foundation of the application," writes Vincent Tabora in Becoming Human. "By this I mean the skeleton from which the rest of the application will be built upon. The manager can simply type their requirements and the tool will generate what the manager wants. This saves project requirements for additional staff who would otherwise be responsible for building the initial application. After the skeleton has been generated, more advanced developers can come in with the rest of the project requirements to complete the application."

Along with creating new applications, AI for coding may also smooth the way for moving applications and systems to modern platforms. In a recentinterview, Maja Vukovi, an IBM Fellow at the company's Watson Research Center, explained how a client was struggling with millions of lines of code, and her team was able to employ AI to assist in migrating the code to new platforms. "Their mission-critical application has ballooned to over 1.5 million lines of code," she relates. "Decades of adding migrating combining different systems. Moreover, this evolution of the code happened by multiple development teams, some of which moved out to different roles, or are not even in the organization anymore. And there may not be even any documentation left."

It took the company's IT team more than two years of struggling with the legacy code, with no results, Vukovi says. "And why is that? Well, we as humans were not built to go and look through 1.5 million lines of code and understand what business functions are buried in there."

Enter AI. "We built an AI model that helped us, in a very short amount of time, to comb through all the code in this application, she explains. "The AI model helped us to identify just which parts of the code are obsolete or no longer in use, which parts of code are redundant, and also which parts of code can be grouped in more manageable groups of code -- or rather, microservices."

Not only did AI help the IBM team recommend suitable business-function-driven microservices, "but we can also use AI to help generate code for target microservices, further simplifying the time, she continues. "It saves the time and effort for the developers. It can also tell you where the gaps are, what else needs to be done to make those microservices fully executable. This simplifies and accelerates the entire application refactoring process tremendously -- our clients have thousands of applications in their portfolio."

This demonstration project was for one application with 1.5 million lines of code that took two years to do manually, Vukovi emphasizes. "Imagine if you have to modernize thousands of applications. You want to compress that time from a multi-year effort to something that you can do in months, or weeks."

Along these lines, IBM launched an initiative called CodeNet intended to facilitate the application of AI to code snippets, she says. Her team is making more than 14 million samples of code available as part of the open source dataset available on GitHub. The project is intended to provide for code what ImageNet, with its database of 14 million images, provided developers and researchers with identified images. "Our team has extracted the most representative code samples that can help us or help AI train and better help developers write software. Our AI for code technology is going to fundamentally change how we think about coding," Vukovi predicts.

Link:

Artificial intelligence will soon be assisting your platform migrations - ZDNet

TomTom has partnered with AI insurance startup Loop to offer coverage that weighs driving habits over demographics.

Image: iStock/Getty Images Plus

TomTom unveiled a multiyear partnership Wednesday with Loop, an Austin, Texas-based insurance tech startup, to provide better, more transparent auto insurance prices, the companies said.

According to the announcement, Loop will provide machine learning data and TomTom, the Netherlands-based mapmaker and location technology specialty firm, will supply Loop with such things as speed profiles, traffic stats and maps services, all in the effort to optimize Loop's AI capabilities for improving driver safety to help lower insurance rates.

Keeping automobile coverage, and how the rate is calculated, can be frustrating and all too often unfair for consumers. When potential customers inquire about a rate quote for coverage, the most popular legacy insurance companies typically use information such as an individual's annual income, credit score, educational level and even marital status. And as a result, according to Loop, such metrics hinder low-income drivers with outsized rates and subpar coverage.

SEE: Hiring Kit: Video Game Programmer (TechRepublic Premium)

Loop, which bills itself as a community-first brand, is hoping to change such circumstances by removing the bias it says is embedded in such standards via a data-driven insurance approach. In particular, it wants to employ AI and telematics a system where data transmission from the vehicle to a company will keep costs down. How well and where you drive will be key not a rate that isn't inflated because the driver doesn't have a master's degree or an impeccable FICO score.

Moreover, TomTom said in a press release that it wants to give Loop AI assistance for analyzing road and driver data, which in turn will help the startup to better understand driver behavior and also encourage those insured with taking safer routes. The payoff would be lowering insurance risk and costs for drivers.

This data-driven approach for providing consumers a more even playing field is, of course, making its way into an array of business models. For example, according to Vidya Phalke, the chief innovation officer at the risk resilient firm MetricStream, "artificial intelligence is helping companies in financial services when it comes to GRC (governance, risk and compliance) - especially for empowering their front line employees - who are often the first target of cyberattacks."

"AI allows companies to break down barriers and silos," he adds, "by creating a comprehensive view across departments and introducing cognitive search functions so that financial institutions can locate data, and sort and analyze any risk as it develops. When searches are faster, front-line and second-line users can reduce redundancy, and move toward tighter security and smoother compliance."

Some experts caution that AI alone cannot remove intrinsic bias. According to AI expert Roman Yampolskiy, a professor of computer science and engineering at the University of Louisville, creating machine learning systems that are 100% impartial is unfeasible. "Researchers usually try to de-bias their AI," he said, "but there are proven mathematical results showing that some bias is impossible to remove."

Still, there is an argument to be made that the use of AI can nonetheless provide financial inclusion for more underserved individuals. For example, Moutusi Sau, Gartner research VP, argues that within the banking services industry, "increasing adoption of AI models in lending would help increase financial inclusion into underbanked populations." In particular, he maintains in his research that more fairness can come about in the lending process by using AI to help explain the terms of agreements and help banks evaluate a wider population.

"From a data and model perspective, explainability helps financial institutions identify any systemic bias in model output and retrain as necessary," he says. While adding: "Although it is not a perfect solution, explainability is a prerequisite to increase diversity and inclusion. To gain the desired outcome, responsibility should be intrinsically included in the algorithm design."

And back to the automobile insurance front, Ali Salhi, the chief technology officer at Loop, says that AI-driven data can only benefit drivers if they are committed to safe driving.

For Salhi, using TomTom's map technology and extensive location data will allow his company to "underwrite and rate risk with pinpoint precision that's never before been seen in private-passenger auto insurance." As Loop sees it, via algorithms, there is a path to spiking a movement that rattles an industry that brings in $254 billion annually.

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Car insurance and more could get cheaper (and, a lot fairer) thanks to artificial intelligence - TechRepublic

Tribe Payments, a payment technology company, today reveals that 67% of FinTechs believe AI is the technology that will have the most significant impact on the sector over the next five years. The finding, part of the new Fintech Five by Five report, examines which five emerging technologies have the most significant impact today, tomorrow and in the long term future, and precisely what changes we can expect to see as a result.

The report is based on a survey of 80 FinTech executives and features contributions from leading technology providers, including Canonical, FintechOS, Microsoft, R3 and TrueLayer.

Five emerging technologies:

Alex Reddish, Chief Commercial Officer at Tribe Payments, said: Fintech may be seen by some as a revolution made possible by technology, but its just as much a shift of attitudean ongoing change where openness to and understanding of new technology is vital. This report not only offers insight into the technologies from those closest to them, it suggests next steps for fintechs who dont want to be left behind.

Recently, IBS Intelligence reported that Tribe Payments, a payment technology provider, announced its partnership with ClearBank. Tribes FinTech customers have access to payment schemes using ClearBanks agency banking and banking-as-service product sets.

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Tribe Payments reports Artificial Intelligence to be significant in 5 years - IBS Intelligence

Artificial Intelligence (AI) holds great promise for improving the delivery of healthcare and medicine worldwide, but only if ethics and human rights are put at the heart of its design, deployment, and use, according to new WHO guidance published today.

The report, Ethics and governance of artificial intelligence for health, is the result of 2 years of consultations held by a panel of international experts appointed by WHO.

Like all new technology, artificial intelligence holds enormous potential for improving the health of millions of people around the world, but like all technology it can also be misused and cause harm, said Dr Tedros Adhanom Ghebreyesus, WHO Director-General. This important new report provides a valuable guide for countries on how to maximize the benefits of AI, while minimizing its risks and avoiding its pitfalls.

Artificial intelligence can be, and in some wealthy countries is already being used to improve the speed and accuracy of diagnosis and screening for diseases; to assist with clinical care; strengthen health research and drug development, and support diverse public health interventions, such as disease surveillance, outbreak response, and health systems management.

AI could also empower patients to take greater control of their own health care and better understand their evolving needs. It could also enable resource-poor countries and rural communities, where patients often have restricted access to health-care workers or medical professionals, to bridge gaps in access to health services.

However, WHOs new report cautions against overestimating the benefits of AI for health, especially when this occurs at the expense of core investments and strategies required to achieve universal health coverage.

It also points out that opportunities are linked to challenges and risks, including unethical collection and use of health data; biases encoded in algorithms, and risks of AI to patient safety, cybersecurity, and the environment.

For example, while private and public sector investment in the development and deployment of AI is critical, the unregulated use of AI could subordinate the rights and interests of patients and communities to the powerful commercial interests of technology companies or the interests of governments in surveillance and social control.

The report also emphasizes that systems trained primarily on data collected from individuals in high-income countries may not perform well for individuals in low- and middle-income settings.

AI systems should therefore be carefully designed to reflect the diversity of socio-economic and health-care settings. They should be accompanied by training in digital skills, community engagement and awareness-raising, especially for millions of healthcare workers who will require digital literacy or retraining if their roles and functions are automated, and who must contend with machines that could challenge the decision-making and autonomy of providers and patients.

Ultimately, guided by existing laws and human rights obligations, and new laws and policies that enshrine ethical principles, governments, providers, and designers must work together to address ethics and human rights concerns at every stage of an AI technologys design, development, and deployment.

To limit the risks and maximize the opportunities intrinsic to the use of AI for health, WHO provides the following principles as the basis for AI regulation and governance:

Protecting human autonomy: In the context of health care, this means that humans should remain in control of health-care systems and medical decisions; privacy and confidentiality should be protected, and patients must give valid informed consent through appropriate legal frameworks for data protection.

Promoting human well-being and safety and the public interest. The designers of AI technologies should satisfy regulatory requirements for safety, accuracy and efficacy for well-defined use cases or indications. Measures of quality control in practice and quality improvement in the use of AI must be available.

Ensuring transparency, explainability and intelligibility. Transparency requires that sufficient information be published or documented before the design or deployment of an AI technology. Such information must be easily accessible and facilitate meaningful public consultation and debate on how the technology is designed and how it should or should not be used.

Fostering responsibility and accountability. Although AI technologies perform specific tasks, it is the responsibility of stakeholders to ensure that they are used under appropriate conditions and by appropriately trained people. Effective mechanisms should be available for questioning and for redress for individuals and groups that are adversely affected by decisions based on algorithms.

Ensuring inclusiveness and equity. Inclusiveness requires that AI for health be designed to encourage the widest possible equitable use and access, irrespective of age, sex, gender, income, race, ethnicity, sexual orientation, ability or other characteristics protected under human rights codes.

Promoting AI that is responsive and sustainable. Designers, developers and users should continuously and transparently assess AI applications during actual use to determine whether AI responds adequately and appropriately to expectations and requirements. AI systems should also be designed to minimize their environmental consequences and increase energy efficiency. Governments and companies should address anticipated disruptions in the workplace, including training for health-care workers to adapt to the use of AI systems, and potential job losses due to use of automated systems.

These principles will guide future WHO work to support efforts to ensure that the full potential of AI for healthcare and public health will be used for the benefits of all.

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WHO issues first global report on Artificial Intelligence (AI) in health and six guiding principles for its design and use - World Health Organization

June28, 20216 min read

Opinions expressed by Entrepreneur contributors are their own.

The continuous progress of technology has led to different government organizations having to modify their structures, as well as the way in which they execute their processes.

Nowadays, applying tools such as Artificial Intelligence (AI ) in government is essential, since AI makes all operations more efficient , allows citizens to listen better, have greater sensitivity about what they are asking for, what they need, and know the general feeling you have.

In other words, it can be said that Artificial Intelligence is an extraordinary content source for the public sector and, above all, it is a great value .

Many developed and developing countries are already implementing AI in different activities within the Public Administration. An example of this is what the Government of Finland is doing, which is conducting tests with what is considered, so far, the most ambitious public assistant based on Artificial Intelligence in the world: AuroraAI .

The objective of this program is to offer citizens personalized services, and filter them according to the specific needs of each person at different times in their lives. Likewise, work is being done to integrate public and business services into a single platform. For example, if AuroraAI detects that a citizen wants to change jobs, it would offer them jobs that match their profile, both in the public and private sectors.

According to Christian Pealoza , doctor in Cognitive Neuroscience, there are three categories into which the main current benefits of Artificial Intelligence in government can be grouped. These are:

Even so, if we have to analyze the exploitation of Artificial Intelligence by government sectors in Latin America, we must emphasize that for many of them the use of AI is still at a very early stage, so they have a long way to go. go through and many technological challenges to face.

The governments already have a part of the road traveled, they are not completely at zero. Most, for example, already have a demographic database. However, there is still much to refine to make certain public policy decisions, says John Salazar , commercial director of Forest Rim Technology for Latin America.

AI in LatAm governments has a long way to go and many technological challenges to face / Image: Depositphotos.com

It should be noted that the application of Artificial Intelligence revolves around techniques such as machine learning and deep learning, artificial vision, voice recognition and robotics . When these are implemented, they become real and tangible benefits for the government . The best? This technology makes results are obtained faster, thus also saving time and avoiding tedious tasks.

At this point, it is essential to emphasize that for AI to work in any organization, it is essential to have the right data , as well as to ensure its accuracy and to label it appropriately for learning.

That is why, first of all, Governments must have the ability to control the data cycle, which consists of collecting data, generating data, storing it, sharing it and, finally, knowing how to use it.

The most important thing is that governments take this data and, with that information, begin to generate policies and public development plans. Because we realize that many governments, especially those in Latin America, do not use data to make decisions and, therefore, do not generate trust or value in citizens , emphasizes Salazar.

Specifically, the Government of Mexico needs to realize how to use and exploit this data, something that is already happening in the United States in a greater way. As an example, the United States Citizenship and Immigration Services (USCIS) uses a virtual assistant, generated by a computer called Emma , to answer questions and direct people to the correct area of the website.

In short, we can see that currently there are many governments that need to exploit the documentation they have. They need to take advantage of all that data to make better decisions and achieve better results.

What's more, data should be the mainstay of current public policies since, as mentioned above, they generate enormous value .

For all this, it is key to continue working so that, day by day, governments are integrating and adopting this technology, so that they develop this culture of working with data, structuring it and managing it, in order to do something that is efficient and productive for the citizenship.

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What are the benefits of Artificial Intelligence in Government? - Entrepreneur