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The ethics of artificial intelligence covers a broad range of topics within the field that are considered to have particular ethical stakes. [1] This includes algorithmic biases, fairness, [2] automated decision-making, accountability, privacy, and regulation.
The European Commission is taking a careful approach legislating AI by emphasizing on ethics, but at the same time – as the EU is behind in AI research to the United States and China – focusing on how to narrow the gap with competitors by creating a more inviting regulatory framework for AI research and development. [18]
[5] Steering on regulating security-related AI is provided by the National Security Commission on Artificial Intelligence. [6] The Artificial Intelligence Initiative Act (S.1558) is a proposed bill that would establish a federal initiative designed to accelerate research and development on AI for, inter alia, the economic and national security ...
“The way war is being reinvented, all of these new technologies are highly dependent on AI,” says Siebel, CEO and founder of enterprise AI software company C3.ai, in response to just the ...
From this higher body, following the recommendations made by the R&D Strategy on Artificial Intelligence of 2018, [133] the National Artificial Intelligence Strategy (2020) was developed, which already provided for actions concerning the governance of artificial intelligence and the ethical standards that should govern its use. This project was ...
James H. Moor, one of the pioneering theoreticians in the field of computer ethics, defines four kinds of ethical robots.As an extensive researcher on the studies of philosophy of artificial intelligence, philosophy of mind, philosophy of science, and logic, Moor defines machines as ethical impact agents, implicit ethical agents, explicit ethical agents, or full ethical agents.
The Artist Rights Alliance, an artist-led non-profit, has circulated an open letter with over 200 signatures from musical artists calling for action against harmful uses of AI in music from tech ...
AI safety is an interdisciplinary field focused on preventing accidents, misuse, or other harmful consequences arising from artificial intelligence (AI) systems. It encompasses machine ethics and AI alignment, which aim to ensure AI systems are moral and beneficial, as well as monitoring AI systems for risks and enhancing their reliability.