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IMPACT ON SOCIETY – ARTIFICIAL INTELLIGENCE

INTRODUCTION

In assessing the future growth of artificial intelligence, a distinction is made between Artificial Narrow Intelligence, which is the use of AI to resolve a specific problem (such as autonomous operation of a vehicle, or playing GO) and Artificial General Intelligence (which simulates the general abilities of human intelligence). ANI is currently in use in a wide range of applications, as research into AGI continues. Its achievement would represent the so-called Singularity in which AI’s abilities would exceed that of any human. This has long been forecast to occur late in the 2040s, but recent forecasts have talked of mid-2030s and even 2030. The reality is that it will not occur at a single date, but over a period of time using research from different groups (and countries).

There are several major societal issues for which exponentially-increasing advances in all forms of artificial intelligence demand consideration. Questions to be answered include:

  • Do we need to protect ourselves from robots deciding that, once they are able to reproduce and maintain themselves, that the world has no use for us fallible humans? What moral and ethical considerations need to be considered – or is it sufficient to require that the software for every robot should include Isaac Asimov’s 1942 Three Laws of Robotics:
    1. A robot may not injure a human being or, through inaction, allow a human being to come to harm.
    2. A robot must obey orders given it by human beings except where such orders would conflict with the First Law.
    3. A robot must protect its own existence as long as such protection does not conflict with the First or Second Law.
  • What ethical decisions can a robot or AI generally be allowed to make, especially life-and-death decisions?
  • What regulations, covering design, security, privacy, data protection, training bias, etc. should be implemented to restrict the application of AI? How could they be enforced effectively – and who should be doing the enforcing?

In January 2017, a conference was organized by The Future of Life Institute in Asilomar, California, to review issues relating to the beneficial use of AI. It was attended by over 1,000 experts in a variety of disciplines, and resulted in 23 principles to be used as guidelines in AI research.

The most dramatic issue is whether robots will become so powerful that they will see no value in the existence of human life. This argument has become one-sided – concentrating on robotic development, and ignoring how these and other developments will affect humans.

Undoubtedly, current robotic research is designed to make robots more capable physically than humans, while continuing to make them more human-like. Bi-pedal robots will soon be covered by a material that will look and feel like skin. Their facial features will likewise be indistinguishable from ours. A robot connected to the internet is already far more capable in terms of knowledge and reasoning than any person. The most challenging research area involves emotions, and considerable efforts are being made to at least simulate emotions like empathy and even love. (The Japanese with an increasingly older demographic are developing robotic caregivers for the elderly, and are leading research into emotional simulation.) The next stage would involve simulation of human consciousness – a higher order of human existence – and there are two ‘camps’ of strong and polarizing opinions: that it can and cannot be achieved.

But much of the same research is being used to increase human capability. Exoskeletons are being used in the construction industry and to help people without any physical capability to walk on their own. Prostheses are replacing lost or damaged limbs with more capable artificial versions. Research will result in artificial eyes that see better, ears that hear better, and voices that will speak in multiple languages – and eventually the neocortex will be connected wirelessly to the internet. Even now, thoughts are being captured by sensors and transmitted to machines that understand them – without any physical intervention.

So while robots are being developed to become increasingly human-like, people are being developed to become increasingly robot-like. Is it not more likely that the two developments will merge into a single race – known in science fiction as cyborgs? In that case, the issue of simulating consciousness becomes irrelevant.

The videos and reference articles below are a brief representative part of the ongoing discussion of possible answers to these questions.

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REVIEW THESE INFORMATIVE ARTICLES - AND READ THOSE THAT INTEREST YOU

ALLOWING UNFETTERED GROWTH OF AI IS A BIG GAMBLE (2021-02 - Technology.org)

The difference between Artificial General Intelligence and Artificial Narrow Intelligence is described in layman’s terms. Examples in various industrries are outlined, and the impact on jobs in those industries is emphasized. Allowing AI to continue to grow and eliminate jobs without considering its impact on society is a big gamble.

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AI COULD CHANGE WHAT IT MEANS TO BE HUMAN (2021-02 - Fast Company)

By eliminating choice and chance, AI could make life comfortable—and utterly predictable.

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HUMAN/MACHINE FUSION (2021-01 - Shelly Palmer)

Research initiatives at the Functional Neural Interface Lab and the Human Fusions Initiative at Case Western Reserve University are to improve human neurologic health and function through the integration of engineered devices into living systems with the overarching goal of advancing the field of neural engineering.

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Afraid Of AI? Five Ways To Address Your Fears (2020-12 - Forbes)

Artificial intelligence doesn’t threaten our jobs, safety or well-being but can actually contribute to helping them in the future in 5 ways: Work, Social Equality, Healthcare, Longevity, and Happiness.

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Artificial General Intelligence: Are we close, and does it even make sense to try? (2020-10 - MIT Technology Review)

A machine that could think like a person has been the guiding vision of AI research since the earliest days—and remains its most divisive idea. This is a review of the definition, history and possibility of Artificial General Intelligence – and when or if the Singularity will occur. Different types of intelligence include Emerging intelligence, Universal intelligence and Open-ended intelligence. The most basic capabilities to expand existing AI from one-trick ponies to become truly general in their abilities are common sense and causal inference.

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38 predictions of the future (2020-09 - LinkedIn)

Predictions include the impact of electric and autonomous vehicles, change in the demand for energy, taking photos, fewer lawyers, travel industry changes, and the arrival of general intelligence.

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How AI is redefining the role of manager (2019-11 - World Economic Forum)

As AI removes many administrative tasks typically handled by managers, their roles are focusing more on soft than hard skills. A survey found that workers believe robots are better than their managers at providing unbiased information, maintaining work schedules, problem-solving and budget management, while managers are better at empathy, coaching and creating a work culture.

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How AI is shaking up the job market (2019-11 - World Economic Forum)

The World Economic Forum’s The Future of Jobs 2018 tracks the acceleration of technological change as it gives rise to new job roles, occupations and industries. Analysis uncovered two concurrent trends: the continued rise of tech jobs and skills, and a growth in “human-centric” jobs and skills. Tech jobs are increasing in most industries and across all regions. But highly “automatable” jobs fall into the top 10 most declining occupations.

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Better-paid, better-educated workers face the most exposure to AI (2019-11 - Brookings Institute)

Job exposure levels result from the overlap between AI-related patents and job descriptions. This analysis suggests that better-educated, better-paid workers (such as managers, supervisors, and analysts) will be the most affected by new AI technologies, with some exceptions. Workers with graduate or professional degrees will be almost 4 times as exposed to AI as workers with just a high school degree.

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New AI systems are personalizing learning (2019-09 - Singularity Hub)

Ahura is developing an AI-based product to capture biometric and other data (facial and eye movements, fidget scores, voice sentiment, word usage) from adult learners with the goal of using it to identify the most effective teaching method for each learner. Tests shows learning speeds increase 3-5 times.

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MIT Report: The Work of the Future (2019-09 - MIT)

Combining the expertise of prominent labor economists and MIT’s top engineers and roboticists, the Report shows how major technology advances in artificial intelligence and robotics may not result in better jobs and wages.

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Humans are on the verge of merging with machines (Ethics - 2019-07 - Fast Company)

Yuval Noah Harari, a professor of history at the Hebrew University in Jerusalem, has a vision of the future where humans and machines become one – a reality that is not so far away.

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AI is turning thoughts into speech. Should we be concerned? (Society & AI/Ethics - 2019-04 - Big Think)

The moral dangers of AI, especially concerning privacy, continue to be an issue. Big Tech sacrifices security for convenience, while consumers are playing right along. An automated task is not necessarily a better option. AI has a bright future ahead. We just need to ensure the consumer fascination with bright and shiny data-collecting toys doesn’t overwhelm our moral sensibilities in using these technologies soundly. So far, we’re fighting an uphill battle.

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AI – Science Fiction to Science Fact (AI & Society - 2019-02 - Technology.org)

Article on the history, present and future of AI with an explanation of terms. All contained in an excellent pictogram.

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