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In this model, governments would directly license private regulators, with the goal of creating a market for regulatory services in which private regulators compete for the business of companies building and deploying AI.
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This article provides a comparative assessment of reports issued by the White House, the European Parliament, and the UK House of Commons to outline their respective visions on how to prepare society for the widespread use of artificial intelligence.Artificial intelligence and the ‘good society’: The US, EU, and UK approach. This news article presents a profile of Christopher Wylie, the former research director of Cambridge Analytica who blew the whistle on the company’s illicit data-collection practices and influence campaign in the 2016 US presidential election.* ‘I made Steve Bannon’s psychological warfare tool’: Meet the data war whistleblower. It highlights the adverse consequences of certain noteworthy precedents and concludes that while giving AI legal personhood may have emotional or economic appeal, the difficulties of holding rights-violating synthetic entities to account outweigh these dubious considerations. This article argues that conferring legal personhood on synthetic entities is morally unnecessary and legally problematic.Artificial Intelligence and Law, 25(3), 273–291. * Of, for, and by the people: The legal lacuna of synthetic persons.
The article argues that AI is less novel than is often assumed, and that its familiar challenges can be managed with appropriate regulation. This article reflects on the AI-induced social and economic changes that happened in the decade after smartphones were introduced in 2007, projects from this analysis to predict imminent political, economic, and personal challenges, and submits corresponding policy recommendations.In Towards a new enlightenment?: A transcendent decade (pp. * The past decade and future of AI’s impact on society. These mechanisms and the accompanying policy recommendations aim to provide more reliable methods for ensuring safety, security, fairness, and privacy protection in AI systems.
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This policy paper, authored by representatives of stakeholders from across academia, industry, and civil society, proposes a range of institutional and technical mechanisms to enable the verification of claims concerning AI development.Toward trustworthy AI development: Mechanisms for supporting verifiable claims. The report focuses on identifying the sorts of attacks that are likely to emerge if adequate defenses are not developed and recommends a broad spectrum of effective approaches to face them. This report surveys the landscape of potential digital, physical, and political security threats from malicious uses of AI and proposes ways to better forecast, prevent, and mitigate these threats.University of Oxford, Future of Humanity Institute, University of Cambridge, Centre for the Study of Existential Risk, Center for a New American Security, Electronic Frontier Foundation, OpenAI. * The malicious use of artificial intelligence: Forecasting, prevention, and mitigation.
The document asserts that human designers and users-and not robots themselves-are the appropriate subjects of robotics regulation because robots are tools which are not ultimately responsible for their actions. The rules were formulated with the purpose of introducing robots in a manner that inspires public trust and confidence, maximizes potential benefits, and avoids unintended consequences.