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New Report from Marc Pfeiffer – First, Do No Harm: Algorithms, AI, and Digital Product Liability

The potential for algorithmic harm(s) are commonly reported to be found in (but are not limited to) technologies such as generative artificial intelligence chatbots, social media, virtual reality, Internet of Things, surveillance tech, robots, etc. This new report provides a pathway to reduce algorithmic harms by incentivizing developers to first, do no harm as opposed to work fast and break things.

Bloustein School launches new big data master’s program

The Bloustein School has launched a new big data master’s program and is recruiting its first class of students to start in fall 2019. The Master of Urban and Public Informatics program (MPI) will provide the vehicle for educating students in the competencies needed...

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Upcoming Events

Implications of Robotics for Public Policy

Virtual

This presentation offers a systematic analysis of the emerging routes by which applications of embodied artificial intelligence—robotics—elicit public policy responses.

2024 Transit-Oriented Development Symposium

Bloustein School, Civic Square Building 33 Livingston Avenue, New Brunswick, NJ, United States

Registration is now open for the 2024 TOD Symposium. This free full-day event will be held in person on Thursday, May 16, 2024 at the Edward J. Bloustein School of […]