DLI's Speed Conference began with a provocation: How do we sustain meaningful human and societal oversight of AI given radically different processing speeds? Over the course of the two-day conference, twenty speakers from diverse fields presented suggestions for addressing these issues.
Along with scale and complexity, speed is one of the defining problems of algorithmic oversight. Intelligent systems and human actors operate at vastly different speeds, and these differences present challenges for managing and responding to algorithmic decisions. Despite speed’s importance, discussions about the topic have been isolated in areas such as robotics, finance, warfare, and online communication.
DLI's Speed Conference, held at Cornell Tech on September 28 and 29 2018 and generously sponsored by Microsoft, brought together nearly a hundred academics and practitioners to identify common themes and potential solutions in areas of speed, AI, and algorithmic oversight. Six panels of experts presented their research in areas of autonomous vehicles, warfare, information security, labor and manufacturing, content moderation, and finance. Panel discussions invited thought-provoking questions from the audience.
You can find a brief overview of the conference on Microsoft's Technology | Academics | Policy blog, and download an in-depth report here >