Artificial Intelligence (AI) is increasingly deployed in supporting decision making in an ever-broader scope of environments, and its impact can often be difficult to trace, let alone challenge on its own terms. As agency over the outcomes of AI are themselves distributed across its infrastructures, extant policy structures, in vivo uses of deployed technology, and the values embedded in the technology throughout the design process, the notion of accountable AI similarly must address multiple points in the AI ecosystem. Accountability thus might be more productively considered less in terms of how AI is built, and more in terms of how AI might be understood, legislated, regulated, and contested. Presentation from Stephen Slota (Postdoctoral Research, School of Information). Register now.
Part of the Future of Work Research Presentation series.
Event Details
Date and Time
April 5, 2021, All Day