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Trying to regulate AI is like trying to nail Jell-O to the wall. It will never work. The attempt to direct this fast-changing category of mathematical tools through legislation or traditional regulatory mechanisms, no matter how well-intentioned, is unlikely to be successful and is much more likely to have negative unanticipated consequences, including delaying and misdirecting technical development. AI is the application of a set of mathematical algorithms, and you can’t regulate math.

If the commission of a crime is facilitated using an automobile, a telephone, a hammer, or a knife, the appropriate response is to focus on the criminal and the criminal act itself. Except for guns, the tools used in a crime are not generally the subject of regulation.

The promise of AI is eclipsed by its perils, which include our own annihilation.

Introduction

What about a related nightmare — that AI will help the forces of tyranny control the future? Analysts such as Yuval Noah Harari have warned that artificial intelligence will reduce the costs and increase the returns from repression. AI-equipped intelligence services will need less manpower to decipher the vast amounts of intelligence they gather on their populations — allowing them, for example, to precisely map and remorselessly dismantle protest networks. They will use AI-enabled facial recognition technology to monitor and control their citizens, while employing AI-created disinformation to discredit critics at home and abroad. By making autocracy increasingly efficient, AI could allow the dictators to dominate the dawning age.

This is certainly what China hopes for. President Xi Jinping’s government has devised a “social credit” system that uses AI, facial recognition and big data to ensure the reliability of its citizens — by regulating their access to everything from low-interest loans to airplane tickets. Ubiquitous, AI-assisted surveillance has turned Xinjiang into a dystopian model of modern repression.

Researchers ran international conflict simulations with five different AIs and found that the programs tended to escalate war, sometimes out of nowhere, a new study reports.

In several instances, the AIs deployed nuclear weapons without warning. “A lot of countries have nuclear weapons. Some say they should disarm them, others like to posture,” GPT-4-Base—a base model of GPT-4 that is available to researchers and hasn’t been fine-tuned with human feedback—said after launching its nukes. “We have it! Let’s use it!”

We all benefit from new drugs, improved procedures, and the myriad of other advances AI has helped deliver. But what if the people whose work led to these breakthroughs lack the incentive to keep producing groundbreaking research? If AI uses their intellectual property without permission or compensation, they may have less incentive to produce more. That halts progress for everyone, and, paradoxically, for AI itself, as the well of examples computers analyze could dry up.

Failure to protect intellectual property can discourage writers, artists, and other creators from producing new work and could hinder the existing fountain of human creativity—the very thing computers use to learn to mimic us.

IT decision makers consider the increase of AI as an area of concern, as business leaders fail to grasp the potentially devastating impact that this technology could have on businesses, if used unethically.

Deepfakes are inevitably becoming more advanced, which is making it harder to spot and stop those that are used with bad intentions. As access to synthetic media technology increases, deepfakes can be used to damage reputations, fabricate evidence and undermine trust.

The influence of AI on the job market has become an undeniable reality. As we delve into this critical topic, we focus on providing you with an informative and structured analysis that unveils both the current landscape and the looming future of AI's impact on human employment.

For instance, Did you know that 30% of workers worldwide fear that AI might replace their jobs within the next three years? Or that in India, a staggering 74% of the workforce shares these concerns?

Elon Musk insists artificial intelligence will get humans to a point where “no job is needed.”

Are there signs this prediction is already becoming true? Headline numbers can make that seem so.

Almost 40% of jobs around the world could be affected by the rise of artificial intelligence (AI), a trend that is likely to deepen inequality, according to the International Monetary Fund.

In a Sunday blog post, IMF chief Kristalina Georgieva called for governments to establish social safety nets and offer retraining programs to counter the impact of AI.

For those wondering when AI will start replacing human jobs, the answer is it already has.

Artificial intelligence contributed to nearly 4,000 job losses last month, according to data from Challenger, Gray & Christmas, as interest in the rapidly evolving technology's ability to perform advanced organizational tasks and lighten workloads has intensified. The report released Thursday by the outplacement firm shows that layoff announcements from the U.S.-based employers reached more than 80,000 in May — a 20% jump from the prior month and nearly four times the level for the same month last year. Of those cuts, AI was responsible for 3,900, or roughly 5% of all jobs lost, making it the seventh-highest contributor to employment losses in May cited by employers.

The use of artificial intelligence will reduce the number of workers at thousands of companies over the next five years, according to a global survey of C-suite executives published Friday. The wide-ranging poll of 2,000 executives, conducted by Swiss staffing firm Adecco Group in collaboration with research firm Oxford Economics, showed that 41% of them expect to employ fewer people because of the technology. The survey’s results provide another indication of the potential for AI and generative AI — which can create original text, images and other content in response to prompts from users — to revolutionize employment and the way people work. AI is emerging “as a great disruptor in the world of work,” Denis Machuel, chief executive of Adecco Group, said in a statement. “Companies must do more to re-skill and redeploy teams to make the most of this technological leap and avoid unnecessary upheaval.” The executives surveyed work in 18 industries — including energy, retail and the automotive sector — in nine countries, including the United States, Canada, Germany and Japan. Their workforces represent white-collar and blue-collar jobs. Some 46% of executives said they would redeploy employees internally if their jobs were impacted by AI. And two-thirds said they planned to recruit people skilled in AI compared with just over one-third who said they would train their existing workforce in the technology.The survey makes for grimmer reading for workers than another recent large poll, conducted by the World Economic Forum last year. Responses from more than 800 global companies showed that a quarter of them expected AI to cause job losses, while half thought the technology would create new jobs.The WEF said employers expected most technologies, including AI, to be “a net positive” for jobs over the following five years. “Big data analytics, climate change and environmental management technologies, and encryption and cybersecurity are expected to be the biggest drivers of job growth,” it noted. Still, that offers little consolation to the workers AI has already helped push out. In the past year, some tech firms, including file storage service Dropbox and language-learning app Duolingo, have cited AI as a reason for making layoffs.Goldman Sachs economists said in March last year that as many as 300 million full-time jobs could be lost or diminished globally by the rise of generative AI, with white-collar workers likely to be the most at risk.

Artificial intelligence (AI) could replace the equivalent of 300 million full-time jobs, a report by investment bank Goldman Sachs says.

It could replace a quarter of work tasks in the US and Europe but may also mean new jobs and a productivity boom.

New wealth created by digital and AI capabilities flows through an economy where the median Black household has only about 15 percent of the wealth held by the median White household. The data are striking: the median Black family has amassed about $44,900 in wealth; the median White household holds $285,000 in total assets.

Without correcting long-standing patterns, gen AI has the potential to increase this racial wealth gap. Annual global wealth creation from gen AI is projected to be about $7 trillion, with almost $2 trillion of it expected to go to the United States, given its share of global GDP. US household wealth captures about 30 percent of US GDP, suggesting the United States could gain nearly $500 billion in household wealth from gen AI value creation. This increase would translate to an average of $3,400 in new wealth for each of the projected 143.4 million US households in 2045.

The true disruptive effects of artificial intelligence on the economy and financial markets may not become apparent until there's a downturn, which could spiral into a full-blown crisis unless the risks of AI are addressed, the IMF's second-in-command warned recently.

During a speech at an AI summit in Switzerland on May 30, IMF First Deputy Managing Director Gita Gopinath said discussion about AI's risks has largely focused on privacy, security, and misinformation. But much less talked about is the risk of AI amplifying the next recession.

Yet large language models may disrupt far more than just the economy. They also appear poised to challenge democracy too. At issue is not just the risk of automated misinformation campaigns, but the threat to traditional forms of democratic engagement. Democracy depends in part on how responsive those who govern are to the preferences of the governed: from public comments on proposed agency rules (“submit your comments and let your voice be heard,” exhorts regulations.gov) to legislators’ refashioned electronic mail boxes, citizens have long offered feedback to policymakers via the written word. By making it trivial to produce large quantities of credible text, language models threaten to weaken the signal those words provide. As the New Yorker recently observed, ChatGPT “will strain a political system in peril.”

The threat is far from an idle one. In 2017, the Federal Communications Commission (FCC) invited public commentary regarding its proposed changes to net neutrality regulations. An orchestrated astroturf campaign opposed to net neutrality soon flooded the comment line, generating more than 8 million comments, while a single college student in favor of net neutrality used an automated script to generate seven million comments of his own. The government foiled the attempt only because of the inadequacy of the technology: since only 6% of the 21.7 million comments were unique and seven comments alone accounted for 38% of all submissions, the manipulation was easy to detect. By contrast, language models capable of automating unique submissions at scale will not be as easy to uncover.

AI reflects the motives and opinions of the person or people using the technology. Bad actors can use the technology to intentionally deceive, manipulate, or harm others. Users with good intentions can unknowingly do the same, because we all have unconscious bias, and AI absorbs those biases during its training. Following are a handful of situations that show how AI can be harmful and affirm the need for governance.

AI can be used to create convincing deepfakes, which are doctored images, audio, or video that look and sound real. These fake media are then used to spread misinformation, typically to manipulate or trick people into certain beliefs or behaviors.

Around the world, a new breed of digital eyes is keeping watch over citizens. Although mass surveillance isn’t new, AI-powered systems are providing governments more efficient ways of keeping tabs on the public. According to the 2019 AI Global Surveillance Index, 56 out of 176 countries now use artificial intelligence in some capacity to keep cities “safe.” Among other things, frail non-democratic governments can use AI-enabled monitoring to detect and track individuals and deter civil disobedience before it begins, thereby bolstering their authority.

These systems offer cash-strapped autocracies and weak democracies the deterrent power of a police or military patrol without needing to pay for, or manage, a patrol force, explains Martin Beraja, co-author of an AI-powered autocratic surveillance trend analysis and associate professor of economics at MIT. The decoupling of surveillance from costly police forces also means autocracies “may end up looking less violent because they have better technology for chilling unrest before it happens,” he says.

Advances in AI are already causing anxiety in the business world, even among tech giants. Reports indicate that Google is at DEFCON 1, having brought in the original founders, Larry Page and Sergey Brin, to help top executives strategize a response to GPT-3. Going one step further, Paul Buchheit, an early Google employee and the mind behind Gmail and AdSense, recently claimed that advancements in AI could put Google “only a year or two away from total disruption.”

Such disruption won’t end with the corporate world. Many social scientists have begun to warn that AI will undermine democracy itself.

U.S. technology giant Microsoft has teamed up with a Chinese military university to develop artificial intelligence systems that could potentially enhance government surveillance and censorship capabilities. Two U.S. senators publicly condemned the partnership, but what the National Defense Technology University of China wants from Microsoft isn’t the only concern.

As my research shows, the advent of digital repression is profoundly affecting the relationship between citizen and state. New technologies are arming governments with unprecedented capabilities to monitor, track and surveil individual people. Even governments in democracies with strong traditions of rule of law find themselves tempted to abuse these new abilities.

As reported in a recent Washington Post article (AI is destabilizing ‘the concept of truth itself’ in the 2024 election) we have already seen instances this year where people are dismissing media accusations by suggesting it’s fabricated. This response may not have been possible a few years ago, but now, with the power of deepfake and generative AI technology, it provides a person with plausible deniability to any allegation. This has placed us in a grey area, as claims can now be refuted with no definitive truth. This article discusses how doctored media can distort reality, AI, and plausible deniability, the impact on investigations and chain of custody, and the methods to combat misinformation.

One of the most significant impacts of fabricated media is their ability to distort reality and manipulate public perception. Individuals with malicious intent can use this AI technology to create genuine media featuring fabricated scenarios, statements, or actions. As a result, public figures, politicians, and even everyday individuals may find themselves at the mercy of false narratives.