UNESCO, through its Information for All Programme (IFAP) and in collaboration with the World Commission on the Ethics of Scientific Knowledge and Technology (COMEST), organized an awareness-raising workshop on Artificial Intelligence on 26 and 27 November 2019, in Libreville, Gabon.

Given the recent expansion of Artificial Intelligence, there is growing demand for a new vision of inclusive knowledge societies that emphasizes the importance of the creation, dissemination, preservation and use of information and knowledge using these emerging technologies.

The remarkable expansion of these technologies is leading to the rise in inventions that were once believed impossible. Computers and robots are now capable of learning, self-improvement and even decision-making evidently, through an algorithm lacking individual consciousness. Nevertheless, this feat provokes ethical questions. During the two days of the workshop, the participants analyzed the impact of artificial intelligence, as well as the ethical aspects. The discussion concerned issues in UNESCOs fields of competence of education, science, culture and communication, and furthermore, the ethical and global dimensions of peace, cultural diversity, gender equality and sustainability.

The World Commission on the Ethics of Scientific Knowledge and Technology (COMEST) contributed to the debate on the impact of emerging issues, such as artificial intelligence and its relation to the Internet of Things or privacy in the digital age.

This debate prompted Gabon to take part in international discussions on the subject, and participants were able to explore both their confidence and reluctance in reducing the digital divide. This gap is more prominent in Gabon than in other countries such as South Africa, Kenya, Morocco, Nigeria and Rwanda, stressed Mr. Vincenzo Fazzino, UNESCO Representative in Gabon.

The workshop in Libreville thus allowed participants to learn and strengthen their knowledge on artificial intelligence. Moreover, the participants were able to understand the issues by taking into account the challenges and opportunities offered by AI and to contextualize AI in their country.

At the end of the workshop, the stakeholders committed to promote artificial intelligence throughout the national territory, encourage African regional cooperation, foster an ethical framework and set up a Gabonese Forum of Artificial Intelligence Associations.

In UNESCOs bookSteering Artificial Intelligence and Advanced ICT for Knowledge Societies, Artificial Intelligence is assessed within the wider ecosystem of Internet and other advanced ICTs including big data, Internet of Things, blockchains, etc. The publication shows that benefits and challenges particularly for communications and information can be usefully analysed in terms of UNESCOs Internet Universality ROAM principles. These principles urge that digital development be aligned with human Rights, Openness, Accessibility and Multi-stakeholder governance to guide the ensemble of values, norms, policies, regulations, codes and ethics that govern the development and use of Artificial Intelligence.

View post:
Gabonese youth enthusiastic about the future prospects offered by Artificial Intelligence - India Education Diary

NEW YORK, Jan. 21, 2020 /PRNewswire/ -- The global artificial intelligence chip market was valued at US$ 5,658.1 Mn in 2018 and is expected to reach US$ 83,252.7 Mn by 2027 with a CAGR growth rate of 35.0% in the forecast period from 2019 to 2027.

Read the full report: https://www.reportlinker.com/p05774487/?utm_source=PRN

In last few years, Artificial intelligence and its applications such as Machine Learning (ML), Natural Language Processing (NLP), Expert Systems, Automated Speech Recognition, AI Planning, and Computer Vision have gained considerable traction in terms of both R&D as well as use cases across the globe.Several industry verticals have implemented AI technology for numerous use cases to utilize real-time analytics with self-learning technology in order to gain useful business insights.

The Artificial Intelligence chip market has enormous potential in industries such as Retail, BFSI, Automotive, IT and Telecom among many others.

North America is the leading region in the global Artificial Intelligence chip market followed by Europe.Due to the willingness to spend and adopt artificial intelligence powered solutions and services by all the verticals, the artificial intelligence chip market in North America contributes the largest market share during the forecast period.

The growing need for digitalization and smart technological solutions to implement intelligent business decisions have contributed substantially towards the growth of artificial intelligence chip market in North America. Other factors such as the surge in demand for smartphones, industrial automation, internet of things (IoT), smart cities, smart homes, robotic process automation are also boosting the growth of artificial intelligence chip market in this region.

The global artificial intelligence chip market is bifurcated on the basis of the segment into the Data Centre and Edge.Based on type, the AI chip market is segmented into CPU, GPU, ASIC, FPGA, and others.

The others section include SoC Accelerators and other application specific custom & hybrid chips.Based on industry vertical, the artificial intelligence chip market is further segmented into BFSI, Retail, IT & Telecom, Automotive & Transportation, Healthcare, Media & Entertainment, and others.

The others section in industry vertical includes education, utilities, oil & gas, mining, etc. (this section will vary with various geographic regions). Geographically, the market is divided into five regions including North America, Europe, Asia-Pacific, Middle East & Africa, and South America.

The overall artificial intelligence chip market size has been derived using both primary and secondary sources.The research process begins with exhaustive secondary research using internal and external sources to obtain qualitative and quantitative information related to the artificial intelligence chip market.

Also, multiple primary interviews were conducted with industry participants and commentators in order to validate data and analysis. The participants who typically take part in such a process include industry expert such as VPs, business development managers, market intelligence managers, and national sales managers, and external consultants such as valuation experts, research analysts, and key opinion leaders specializing in the artificial intelligence technology.

Read the full report: https://www.reportlinker.com/p05774487/?utm_source=PRN

About Reportlinker ReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need - instantly, in one place.

__________________________ Contact Clare: clare@reportlinker.com US: (339)-368-6001 Intl: +1 339-368-6001

View original content:http://www.prnewswire.com/news-releases/artificial-intelligence-chip-market-to-2027---global-analysis-and-forecasts-by-segment--type--and-industry-vertical-300990150.html

SOURCE Reportlinker

Read the original here:
Artificial Intelligence Chip Market to 2027 - Global Analysis and Forecasts by Segment ; Type ; and Industry Vertical - Yahoo Finance

Applying the artificial intelligence platform to CT machines is the natural evolution of the Syntech ONE product line.

PALO ALTO, Calif. (PRWEB) January 21, 2020

Artificial intelligence security and defense company Synapse Technology Corporation today announced that the Department of Homeland Security (DHS) Science and Technology Directorate (S&T) awarded the company a contract to develop artificial intelligence algorithms for computed tomography (CT) machines at airports across the United States.

To date, Synapse Technology has deployed its technology on security X-ray machines at sites ranging from courthouses to airports on a global scale. The artificial intelligence algorithms automatically identify threats in baggage and alert human operators, adding an additional layer of security at these checkpoints. This new DHS contract represents an opportunity for the company to adapt the technology to new 3D CT scanning machines that are being broadly deployed.

Our artificial intelligence platform has been designed to be adaptable across machine types. Applying the AI system to CT machines is the natural evolution of the product weve built over the last several years, said Ian Cinnamon, President of Synapse Technology.

Synapse Technology looks forward to collaborating closely with the Department of Homeland Security to deploy artificial intelligence technology on the newest security checkpoint scanning machines being installed across the country.

About Synapse TechnologySynapse Technologys AI platform Syntech ONE integrates with new and existing X-ray machines used at security checkpoints. Instead of security screeners relying solely on human cognitive abilities to identify threats like guns and knives, Syntech ONE augments and automates the detection of these dangerous items. Syntech ONE has already been widely deployed, having processed over 24,000,000 passenger bags at security checkpoints in four countries. The US Department of Homeland Security (DHS) recognizes the value of Syntech ONE and has granted Synapse Technology Corporation a SAFETY Act award for its technology platform.

The research in this press release is being conducted under contract with the US Department of Homeland Security (DHS) Science and Technology (S&T) Directorate (https://www.dhs.gov/science-and-technology), contract 70RSAT20T00000014. The opinions contained herein are those of the contractors and do not necessarily reflect those of DHS S&T

Share article on social media or email:

Read more from the original source:
Department of Homeland Security Funds Synapse Technology to Develop Artificial Intelligence Technology - PR Web

The method, designed by researchers of the UMA, enables the detection of pathologies with increased accuracy and definition, without additional tests.University of Malaga

Researchers of the ICAI GroupComputational Intelligence and Image Analysisof the University of Malaga (UMA) have designed an unprecedented method that is capable of improving brain images obtained through magnetic resonance imaging using artificial intelligence.

This new model manages to increase image quality from low resolution to high resolution without distorting the patients' brain structures, using a deep learning artificial neural networka model that is based on the functioning of the human brainthat "learns" this process.

"Deep learning is based on very large neural networks, and so is its capacity to learn, reaching the complexity and abstraction of a brain", explains researcher Karl Thurnhofer, main author of this study, who adds that, thanks to this technique, the activity of identification can be performed alone, without supervision; an identification effort that the human eye would not be capable of doing.

Researchers of the ICAI GroupComputational Intelligence and Image Analysisof the University of Malaga (UMA) have designed an unprecedented method that is capable of improving brain images obtained through magnetic resonance imaging using artificial intelligence.Credit: University of Malaga

Published in the scientific journalNeurocomputing, this study represents a scientific breakthrough, since the algorithm developed by the UMA yields more accurate results in less time, with clear benefits for patients. "So far, the acquisition of quality brain images has depended on the time the patient remained immobilized in the scanner; with our method, image processing is carried out later on the computer," explains Thurnhofer.

According to the experts, the results will enable specialists to identify brain-related pathologies, like physical injuries, cancer or language disorders, among others, with increased accuracy and definition, because image details are thinner, thus avoiding the performance of additional tests when diagnoses are uncertain.

Nowadays, the ICAI Group of the UMA, led by professor Ezequiel Lpez, co-author of this study, is a benchmark for neurocomputing, computational learning and artificial intelligence. Enrique Domnguez and Rafael Luque, both professors in the Department of Computer Science and Programming Languages, as well as researcher Nria Ro-Vellv, also participated in this study.

Like this article? Click here to subscribe to free newsletters from Lab Manager

Read the rest here:
Artificial Intelligence to Improve Resolution of Brain Magnetic Resonance Imaging - Lab Manager Magazine

One of the most recognised interpretationsof emotional intelligence (EI) is that of the American author and sciencejournalist, Daniel Goleman. He describes EI as how we use a combination ofself-awareness, self-management and empathy to build and maintain successfulrelationships. Goleman suggests that EI accounts for 67% of the abilitiesneeded to be a successful leader and that it is twice as important as technicalproficiency or IQ.

Why EI is so importantThe most successful leaders enjoy positive relationships with other people. They are able to do this because they are aware of and understand what they feel and why. This awareness and understanding helps them make good decisions and develop a sound moral compass.

As well as understanding theiremotions, successful leaders can manage them and channel how they feel inpositive ways. They understand how other peoples emotions affect their ownfeelings and behaviour. And they bring all this together into how they manage theirrelationships with other people.

Of course, EI has always beenimportant, for all of us. But the impact of technology today is making it essential.83% of executives interviewed by Capgemini in 2019 said a highly emotionallyintelligent workforce will be a prerequisite for success in years to come. And76% said their employees need to develop their EI so they can adapt to newroles and take on tasks that cant be automated.

Claudia Crummenerl, global practicelead, people and organisation at Capgemini Invent said, Companies areincreasingly aware of the need for emotional intelligence skills but are notmoving quickly enough to invest in them.

Why the need for EI is growingToday, were talking to each other less and less while algorithms and AI are influencing us more and more. As a result were losing our ability to connect, to have empathy and to understand. Our EI is suffering.

The more we depend on technologythe more we impair our EI. To counter this we must preserve and capitalize on thethings we can do that technology cant. And we must recognise and value ourimportance as people, as more than simply cogs in a corporate machine.

The value of high EIPeople with high EI, understand their emotions and use them to guide how they act. They know their own strengths and weaknesses, can handle constructive feedback and use it to improve their performance and that of the people they manage.

People with high EI are better atcoping with and managing change. They are more likely to hire people whoperform well in areas they struggle with themselves, and in doing so improvetheir organisations performance.

And people with high EI understandothers and so can motivate them. This makes them more comfortable taking on aleadership role. Because they can manage their own and others emotions, theyare able to create a positive working environment.

These strengths are also thestrengths of people who in my business we call innovative communicators. Andits why we base our communications training firmly in EI.

What high EI means for communicationThe more we interact with other people, the more we learn to understand our own motivations and behaviours. And the more we interact with other people, the more we learn to understand their motivations and behaviours.

So the more we communicate withothers, the more emotionally intelligent we become. And as we become moreemotionally intelligent, so we become better or innovative communicators.

Innovative communication is not afunction, something you delegate to your human resources or communicationsteam. Its a set of qualities anyone can develop to help them lead withconfidence and drive growth. It depends on behaviours such as adaptiveleadership, collaboration and delegation, all of which contribute to high EI.So its impossible to separate high EI from effective communication skills. Thebest communicators will all have high EI because the two are co-dependent.

This means when you train people incommunication skills you need to look at the whole human and base the trainingin EI. Its not about internal comms, external comms, PR, HR or marketing. Itsabout human beings talking to other human beings and the wide range of skillsand personality traits it takes to do that effectively particularly todaywhen we are so influenced by technology and social media.

The time to act is nowThe demand for people with high EI and innovative communication skills is set to soar so you should prepare your business by training your teams now. In 2019, IBMs Institute for Business Value found that, over the next three years, more than 120 million workers worldwide will need retraining in behavioural skills such as communication, teamwork, adaptability, ethics and integrity. All of which are firmly rooted in EI.

Our rhetoric, our politics and our economies are becoming increasingly divisive. Which is why there has never been a better time for people in business to reconnect through meaningful communication, to what matters most to them and to each other, and for the greater good.

Miti Ampoma,Founder and DirectorMiticom Communications Training

Read more:
To mitigate the impact of artificial intelligence we must harness the power of emotional intelligence - The HR Director Magazine

According to market research, the artificial intelligence (AI) market was valued at US$16.06 billion in 2017 and is expected to reach US$190.61 billion by 2025, with a compound annual growth rate of 36.6%.

Investing in AI is a form of thematic investing; that is, gaining exposure to a niche that is expected to grow significantly over time.

According to market research, the artificial intelligence (AI) market was valued at US$16.06 billion in 2017 and is expected to reach US$190.61 billion by 2025, with a compound annual growth rate of 36.6%.

Investing in AI is a form of thematic investing; that is, gaining exposure to a niche that is expected to grow significantly over time.

AI refers to intelligence demonstrated by machines. It is a wide-ranging branch of computer science focused on building smart machines capable of performing tasks that have typically required human intelligence. AI makes it possible for machines to learn from experience, adjust to new inputs, and perform tasks that previously required human input.

Advances in machine learning, deep learning, and natural language processing have enabled rapid advances in AI over the last decade. Examples include smart assistants such as Siri and Alexa, song and TV show recommendations from Spotify and Netflix, and spam filters on email. AI is also used to provide 24/7 customer service via chatbots, to write news stories, and in self-driving cars.

Here are 3 ASX shares involved in the AI sector.

Appen provides data for use in machine learning and AI. It collects and labels images, text, speech, audio, and video data used to build and improve artificial intelligence systems at some of the worlds biggest tech companies.

Appen listed on the ASX in 2015 and has grown exponentially since then. Total profit for the year ended 31 December 2014 was $1.615 million. Total profit for the year ended 31 December 2018 was $49 million. Appens share price has increased from 56 cents in early 2015 to more than $24 currently.

Brainchip is a provider of neuromorphic computing solutions, a type of AI inspired by the biology of the human neuron. In 2018, Brainchip announced the release of the Akida Neuromorphic System-On-Chip. The Akida is small, low cost, and low power, making it well suited for applications such as autonomous vehicles, drones, and machine vision systems.

The Akida IP was released for sale as a license in mid 2019 and has received a positive response from customers. Brainchip has some revenues, however these are currently not sufficient to cover its expenses for R&D, marketing, etcetera. The company ended the September 2019 quarter with US$9.5 million in cash. Significant reductions in planned expenses in 2020 have been initiated.

This ETF tracks the ROBO Global Robotics and Automation Index. The Index is made up of shares in companies in the global value chain of robotics, automation, and artificial intelligence. The ETF has provided returns of 29.50% in the year to 31 December.

Management fees are 0.69% per annum and distributions are made annually. The ETF has 91 holdings spread across 13 countries with a weighted price-to-earnings ratio of 30.7.

The AI industry will only grow over the coming years. Whether that means Brainchip and Appen will also grow remains to be seen. In my view, the least risky choice of the 3 is likely ROBO, given the diversification it provides.

If you're not sold on the AI theme, here are 5 solid growth shares to consider instead.

NEW. Five Cheap and Good Stocks to Buy for 2020 and beyond!.

Our Motley Fool experts have just released a fantastic report, detailing 5 dirt cheap shares that you can buy in 2020.

One stock is an Australian internet darling with a rock solid reputation and an exciting new business line that promises years (or even decades) of growth while trading at an ultra-low price

Another is a diversified conglomerate trading near a 52-week low all while offering a 2.7% fully franked yield...

Plus 3 more cheap bets that could position you to profit over the next 12 months!

See for yourself now. Simply click the link below to scoop up your FREE copy and discover all 5 shares. But you will want to hurry this free report is available for a brief time only.

CLICK HERE FOR YOUR FREE REPORT!

Motley Fool contributor Kate O'Brien has no position in any of the stocks mentioned. The Motley Fool Australia owns shares of Appen Ltd. We Fools may not all hold the same opinions, but we all believe that considering a diverse range of insights makes us better investors. The Motley Fool has a disclosure policy. This article contains general investment advice only (under AFSL 400691). Authorised by Scott Phillips.

Visit link:
3 ASX shares for exposure to the artificial intelligence industry - Motley Fool Australia

The report presents authentic and accurate research study on the global Emotion Artificial Intelligence Market on the basis of qualitative and quantitative assessment done by the leading industry experts. The report throws light on the present market scenario and how is it anticipated to change in the coming future. Growth determinants, micro and macroeconomic indicators, opportunities, developments, and key market trends are scrutinized in this report that are likely to have a major influence on the global Emotion Artificial Intelligence Market Growth.

Market Overview

The global Emotion Artificial Intelligence market size is expected to gain market growth in the forecast period of 2020 to 2025, with a CAGR of % in the forecast period of 2020 to 2025 and will expected to reach USD million by 2025, from USD million in 2019.

The Emotion Artificial Intelligence Market report provides a detailed analysis of global market size, regional and country-level market size, segmentation market growth, market share, competitive Landscape, sales analysis, impact of domestic and global market players, value chain optimization, trade regulations, recent developments, opportunities analysis, strategic market growth analysis, product launches, area marketplace expanding, and technological innovations.

Get FREE Sample Report + All Related Graphs & Charts @at

https://www.marketresearchnest.com/sample-request/859772-Global-Emotion-Artificial-Intelligence-Market-2020-by-Company,-Regions,-Type-and-Application,-Forecast-to-2025

Market segmentation

Emotion Artificial Intelligence Market is split by Type and by Application. For the period 2015-2025, the growth among segments provides accurate calculations and forecasts for sales by Type and by Application in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.

By Type, Emotion Artificial Intelligence market has been segmented into:

By Application, Emotion Artificial Intelligence has been segmented into:

Regions and Countries Level Analysis

Regional analysis is another highly comprehensive part of the research and analysis study of the global Emotion Artificial Intelligence Market presented in the report. This section sheds light on the sales growth of different regional and country-level Emotion Artificial Intelligence markets. For the historical and forecast period 2015 to 2025, it provides detailed and accurate country-wise volume analysis and region-wise market size analysis of the global Emotion Artificial Intelligence market.

The report offers in-depth assessment of the growth and other aspects of the Emotion Artificial Intelligence market in important countries (regions), including:

Competitive Landscape and Emotion Artificial Intelligence Market Share Analysis

Emotion Artificial Intelligence competitive landscape provides details by vendors, including company overview, company total revenue (financials), market potential, global presence, Emotion Artificial Intelligence sales and revenue generated, market share, price, production sites and facilities, SWOT analysis, product launch. For the period 2015-2020, this study provides the Emotion Artificial Intelligence sales, revenue and market share for each player covered in this report.

The major players covered in Emotion Artificial Intelligence are:

Access PDF Version of this Report at:

https://www.marketresearchnest.com/reportdetail/859772/Global-Emotion-Artificial-Intelligence-Market-2020-by-Company,-Regions,-Type-and-Application,-Forecast-to-2025

Thanks for reading this article. You can contact us at [emailprotected] to explore the Emotion Artificial Intelligence market in detail.

Read more:
Emotion Artificial Intelligence Market Research 2020: Currently Trending Market Strategies of Production and Applications by 2025 - Dagoretti News

A US-built drone piloted by artificial intelligence. (Photo by Cristina Young/U.S. Navy via Getty ... [+] Images)

Artificial intelligence isn't only a consumer and business-centric technology. Yes, companies use AI to automate various tasks, while consumers use AI to make their daily routines easier. But governmentsand in particular militariesalso have a massive interest in the speed and scale offered by AI. Nation states are already using artificial intelligence to monitor their own citizens, and as the UK's Ministry of Defence (MoD) revealed last week, they'll also be using AI to make decisions related to national security and warfare.

The MoD's Defence and Security Accelerator (DASA) has announced the initial injection of 4 million in funding for new projects and startups exploring how to use AI in the context of the British Navy. In particular, the DASA is looking to support AI- and machine learning-based technology that will "revolutionise the way warships make decisions and process thousands of strands of intelligence and data."

In this first wave of funding, the MoD will share 1 million between nine projects as part of DASAs Intelligent Ship The Next Generation competition. However, while the first developmental forays will be made in the context of the navy, the UK government intends any breakthroughs to form the basis of technology that will be used across the entire spectrum of British defensive and offensive capabilities.

"The astonishing pace at which global threats are evolving requires new approaches and fresh-thinking to the way we develop our ideas and technology," said UK Defence Minister James Heappey. "The funding will research pioneering projects into how A.I and automation can support our armed forces in their essential day-to-day work."

More specifically, the project will be looking at how four conceptsautomation, autonomy, machine learning, and AIcan be integrated into UK military systems and how they can be exploited to increase British responsiveness to potential and actual threats.

"This DASA competition has the potential to lead the transformation of our defence platforms, leading to a sea change in the relationships between AI and human teams," explains Julia Tagg, the technical lead at the MoD's Defence Science and Technology Laborator (Dstl). "This will ensure UK defence remains an effective, capable force for good in a rapidly changing technological landscape."

On the one hand, such an adaption is a necessary response to the ever-changing nature of inter-state conflict. Instead of open armed warfare between states and their manned armies, geopolitical rivalry is increasingly being fought out in terms of such phenomena as cyber-warfare, micro-aggressive standoffs, and trade wars. As Julia Tagg explains, this explosion of multiple smaller events requires defence forces to be much more aware of what's happening in the world around them.

"Crews are already facing information overload with thousands of sources of data, intelligence, and information," she says. "By harnessing automation, autonomy, machine learning and artificial intelligence with the real-life skill and experience of our men and women, we can revolutionise the way future fleets are put together and operate to keep the UK safe."

That said, the most interestingand worryingelement of the Intelligent Ship project is the focus on introducing AI-enabled "autonomy" to the UK's defence capabilities. As a number of reports from the likes ofthe Economist, MIT Technology Review and Foreign Affairs have argued, AI-powered systems potentially come with a number of serious weaknesses. Like any code-based system they're likely to contain bugs that can be attacked by enemies, while the existence of biases in data (as seen in the context of law and employment) indicate that algorithms may simply perpetuate the prejudices and mistakes of past human decision-making.

It's for such reasons that the increasing fondness of militaries for AI is concerning. Not only is the British government stepping up its investment in military AI, but the United States government earmarked $927 million for "Artificial Intelligence / Machine Learning investments to expand military advantage" in last year's budget. As for China, its government has reportedly invested "tens of billions of dollars" in AI capabilities, while Russia has recently outlined an ambitious general AI strategy for 2030. It's even developing 'robot soldiers,' according to some reports.

So besides being the future of everything else, AI is likely to be the future of warfare. It will increasingly process defence-related information, filter such data for the greatest threats, make defence decisions based on its programmed algorithms, and perhaps even direct combat robots. This will most likely make national militaries 'stronger' and more 'capable,' but it could come at the cost of innocent lives, and perhaps even the cost of escalation into open warfare. Because as the example of Stanislav Petrov in 1983 proves, automated defence systems can't always be trusted.

Read the rest here:
How Artificial Intelligence Will Make Decisions In Tomorrows Wars - Forbes

Sergey Tarasov - stock.adobe.com

Last Friday, the World Economic Forum (WEF) sent out a press announcement about an artificial intelligence (AI) toolkit for corporate boards. The release pointed to a section of their web site titled Empowering AI Leadership. For some reason, at this writing, there is no obvious link to the toolkit, but the press team was quick to provide the link. It is well laid out in linked we pages, and some well-produced pdfs are available for download. For purposes of this article, I have only looked at the overview and the ethics section, so here are my initial impressions.

As would be expected from an organization focused on a select few in the world, the AI toolkit is high level. Boards of directors have broad but shallow oversight over companies, so there is no need to focus on details. Still, it is wished that a bit more accuracy had been involved.

The description of AI is very nice. There are many definitions and, as Ive repeatedly pointed out, the meaning of AI and of machine learning (ML) continue to both be changing and to have different meanings to many. The problem in the setup is one that many people miss about ML. In the introductory module, the WEF claims The breakthrough came in recent years, when computer scientists adopted a practical way to build systems that can learn. They support that with a link to an article that gets it wrong. The breakthrough mentioned in the article, the level of accuracy in an ML system, is far more driven by a non-AI breakthrough than a specific ML model.

When we studied AI in the 1980s, deep learning was known and models existed. What we couldnt do is run them. Hardware and operating systems didnt support the needed algorithms and the data volumes that were required to train them. Cloud computing is the real AI breakthrough. The ability to link multiple processors and computers in an efficient and larger virtual machine is what has powered the last decades growth of AI.

I was also amused about with list of core AI techniques where deep learning and neural networks are listed at the same level as the learning methods used to train them. Im only amused, not upset, because boards dont need to know the difference to start, but its important to introduce them to the terms. I did glance at the glossary, and its a very nice set of high-level definitions of some of these so interested board members can get some clarification.

On a quick tangent, their definition of bias is well done, as only a few short sentences reference both the real world issue of bias and the danger of bias within an AI system.

Ethics are an important component (in theory) to the management of companies. The WEF points out at the beginning of that module that technology companies, professional associations, government agencies, NGOs and academic groups have already developed many AI codes of ethics and professional conduct. The statement reminds me of the saying that standards are so important that everyone wants one of their own. The module then goes on to discuss a few of the issue of the different standards.

Where I differ from the WEF should be no surprise. This section strongly minimized governmental regulation. Its all up to the brave and ethical company. As Zuckerbergs decision that Facebook will allow lies in political advertisements as long as it makes the firm and himself wealthier, it is clear that governments must be more active in setting guidelines on technical companies, both in at large and within the AI arena. Two years ago, I discussed how the FDA is looking at how to handle machine learning. Governments move slowly, but they move. Its clear that companies need to be more aware of the changing regulatory environment. Ethical companies should be involved in both helping governments set reasonable regulations, ones that protect consumers as well as companies, and should be preparing systems, in advance, to match where they think a proper regulatory environment will evolve.

The WEFs Davos meetings are, regardless of my own personal cynicism about them, where government and business leaders meet to discuss critical economic issues. Its great to see the WEF taking a strong look at AI and then presenting what looks like a very good, introductory, toolkit for boards of directors, but the need for strong ethical positions means that more is needed. It will be interesting to see how their positioning advances over the next couple of years. F

View original post here:
The World Economic Forum Jumps On the Artificial Intelligence Bandwagon - Forbes

Artificial Intelligence (AI) has made major progress in recent years. But even milestones like AlphaGo or the narrow AI used by big tech only scratch the surface of the seismic changes yet to come.

Modern AI holds the potential to upend entire profession while unleashing brand new industries in the process. Old assumptions will no longer hold, and new realities will dictate those who are swallowed by the tides of change from those able to anticipate and ride the AI wave headlong into a prosperous future.

Heres how businesses and employees can both leverage AI in the 2020s.

Like many emerging technologies, AI comes with a substantial learning curve. As a recent McKinsey report highlights, AI is a slow burn technology that requires a heavy upfront investment, with returns only ramping up well down the road.

Because of this slow burn, an AI front-runner and an AI laggard may initially appear to be on equal footing. The front-runner may even be a bit behind during early growing pains. But as the effects of AI adoption kick in, the gap between the two widens dramatically and exponentially. McKinseys models estimate that within around 10 years, the difference in cumulative net change in cash flow between front-runners and laggards could be as high as 145 percent.

The first lesson for any business hoping to seize new AI opportunities is to start making moves to do so right now.

Read More: How is Artificial Intelligence (AI) Changing the Future of Architecture?

Despite popular opinion, the coming AI wave will be mostly a net positive for employees. The World Economic Forum found that by 2022, AI and Machine Learning will have created over 130 million new jobs. Though impressive, these gains will not be distributed evenly.

Jobs characterized by unskilled and repetitive tasks face an uncertain future, while jobs in need of greater social and creative problem-solving will spike. According to McKinsey, the coming decade could see a 10 percent fall in the share of low digital skill jobs, with a corresponding rise in the share of jobs requiring high digital skill.

So how can employees successfully navigate the coming future of work? One place to start is to investigate the past. Nearly half a century ago, the first ATM was installed outside Barclays Bank in London. In 1967, the thought of bank tellers surviving the introduction of automated teller machines felt impossible. ATMs caught on like wildfire, cut into tellers hours, offered unbeatable flexibility and convenience, and should have all but wiped tellers out.

But, in fact, exactly the opposite happened. No longer having to handle simple deposits freed tellers up to engage with more complex and social facets of the business. They started advising customers on mortgages and loans, forging relationships and winning loyalty. Most remarkable of all, in the years following the ATMs introduction, the total number of tellers employed worldwide didnt fall off a cliff. In fact, it rose higher than ever.

Though AI could potentially threaten some types of jobs, many jobs will see rising demand. Increased reliance on automated systems for core business functions, frees up valuable employee time and enables them to focus on different areas to add even more value to the company.

As employees grow increasingly aware of the changing nature of work, they are also clamoring for avenues for development, aware that they need to hold a variety of skills to remain relevant in a dynamic job market. Companies will, therefore, need to provide employees with a wide range of experiences and the opportunity to continuously enhance their skillsets or suffer high turnover. This is already a vital issue to businesses with the cost of losing an employee equating to 90%-200% of their annual salary. This costs each large enterprise an estimated $400 million a year. If employees feel their role is too restrictive or that their organization is lagging, their likelihood of leaving will climb.

The only way to capture the full value of AI for business is to retain the highly skilled employees capable of wielding it. Departmental silos and rigid job descriptions will have no place in the AI future.

Read More: How Artificial Intelligence and Blockchain is Revolutionizing Mobile Industry in 2020?

For employees to maximize their chances of success in the face of rapid AI advancement, they must remain flexible and continuously acquire new skills. Both businesses and employees will need to realign their priorities in accordance with new realities. Workers will have to be open to novel ideas and perspectives, while employers will need to embrace the latest technological advancements.

Fortunately, the resources and avenues for ambitious employers to pursue continued growth for their employees are blossoming. Indeed, the very AI advancements prompting the need for accelerated career development paths are also powering technologies to maximize and optimize professional enrichment.

AI is truly unlocking an exciting new future of work. Smart algorithms now enable hyper-flexible workplaces to seamlessly shuffle and schedule employee travel, remote work, and mentorship opportunities. At the cutting edge, these technologies can even let employees divide their time between multiple departments across their organization. AI can also tailor training and reskilling programs to each employees unique goals and pace.

The rise of AI holds the promise of great change, but if properly managed, it can be a change for the better.

Read More: Predictions of AI AdTech in 2020

See the rest here:
Seizing Artificial Intelligence's Opportunities in the 2020s - AiThority