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The role of governance in ethical AI An AI governance framework forms the backbone of an ethical AI implementation. These structures establish clear lines of responsibility and accountability throughout the AI life cycle. A comprehensive governance strategy should define the decision-making processes – including human oversight – and assign specific roles for AI project management.

The AI Ethics Certificate program will be housed within the Philosophy Department. Artificial intelligence (AI) ethics is a branch of ethics that explores complex ethical challenges posed by AI technologies. Here Stewart Eskew, assistant teaching professor of Philosophy, teaches a philosophy class. The rapid expansion of Artificial Intelligence (AI) is transforming industries from healthcare to

open share links close share links Artificial intelligence is revolutionizing industries, by automating customer service, optimizing supply chains, personalizing marketing campaigns, and in countless other ways. But with great power comes great responsibility — and risks. Organizations today must work to ensure that the AI systems they build or implement are safe, secure, unbiased, and

Anne-Elisabeth Courrier, a leader in research and teaching at the intersection of AI ethics, law and data, has assumed the role of artificial intelligence ethics liaison, a new position created in the Emory University Center for Ethics. Courrier, an adjunct professor at the Emory School of Law and associate professor in comparative law at Nantes

Alexandra Stathopoulos Partner San Francisco; Los Angeles Alex Stathopoulos defends employers in complex wage and hour class actions and high-stakes single plaintiff cases, and provides creative and practical counseling on new and developing areas of the law, including how to protect companies from “fake” employees, artificial intelligence and the evolving regulatory landscape

Abstract Anticipating and steering the societal impacts of frontier artificial intelligence (AI) systems demands a kind of speculation that often faces both moral and epistemic objections. For example, some contend that “anticipatory AI ethics” amplifies AI hype and draws attention away from present-day harms or that it rests on dubious technological determinism and shaky,