Description
Discover the transformative insights in 'Algorithms for the People,' a groundbreaking exploration of AI governance that places democracy at its core. In a world increasingly influenced by artificial intelligence and machine learning, the importance of ethical considerations in technology is paramount. This brand new release, published by Princeton University Press in 2023, delves into pivotal questions about how powerful prediction algorithms affect societal decisions across police, justice, welfare, and digital media sectors. From crucial policing strategies to content moderation on platforms like Facebook and Google, this work examines how these advanced technologies can limit human empathy and creativity.
Author Josh Simons, whose extensive background includes roles at Harvard University and Facebook's Responsible AI team, guides readers through the intricacies of predictive technologies. He illuminates how the design and implementation of these technologies are intertwined with political choices, advocating for a democratic approach to AI governance. Simons argues that understanding the political implications of technology is essential for ensuring that AI serves the public good, rather than undermining it.
With an ISBN of 9780691244006, this trade-bound book is not just a read but a call to action for policymakers and citizens alike to rethink the future of AI regulation. Explore the connection between technology, ethics, and democratic reform with this essential addition to your library. Please note: Shipping for this item is free. Allow up to 6 weeks for delivery. Once your order is placed, it cannot be cancelled.
Note: Shipping for this item is free. Please allow up to 6 weeks for delivery. Once your order is placed, it cannot be cancelled.
Condition: BRAND NEW
ISBN: 9780691244006
Format: Trade binding
Year: 2023
Publisher: Princeton University Press
Description:
How to put democracy at the heart of AI governance.
Artificial intelligence and machine learning are reshaping our world. Police forces use them to decide where to send police officers, judges to decide whom to release on bail, welfare agencies to decide which children are at risk of abuse, and Facebook and Google to rank content and distribute ads. In these spheres, and many others, powerful prediction tools are changing how decisions are made, narrowing opportunities for the exercise of judgment, empathy, and creativity.
In Algorithms for the People, Josh Simons flips the narrative about how we govern these technologies. Instead of examining the impact of technology on democracy, he explores how to put democracy at the heart of AI governance.
Drawing on his experience as a research fellow at Harvard University, a visiting research scientist on Facebook’s Responsible AI team, and a policy advisor to the UK’s Labour Party, Simons gets under the hood of predictive technologies, offering an accessible account of how they work, why they matter, and how to regulate the institutions that build and use them.
He argues that prediction is political: human choices about how to design and use predictive tools shape their effects. Approaching predictive technologies through the lens of political theory casts new light on how democracies should govern political choices made outside the sphere of representative politics. Showing the connection between technology regulation and democratic reform, Simons argues that we must go beyond conventional theorizing of AI ethics to wrestle with fundamen
Author Josh Simons, whose extensive background includes roles at Harvard University and Facebook's Responsible AI team, guides readers through the intricacies of predictive technologies. He illuminates how the design and implementation of these technologies are intertwined with political choices, advocating for a democratic approach to AI governance. Simons argues that understanding the political implications of technology is essential for ensuring that AI serves the public good, rather than undermining it.
With an ISBN of 9780691244006, this trade-bound book is not just a read but a call to action for policymakers and citizens alike to rethink the future of AI regulation. Explore the connection between technology, ethics, and democratic reform with this essential addition to your library. Please note: Shipping for this item is free. Allow up to 6 weeks for delivery. Once your order is placed, it cannot be cancelled.
Note: Shipping for this item is free. Please allow up to 6 weeks for delivery. Once your order is placed, it cannot be cancelled.
Condition: BRAND NEW
ISBN: 9780691244006
Format: Trade binding
Year: 2023
Publisher: Princeton University Press
Description:
How to put democracy at the heart of AI governance.
Artificial intelligence and machine learning are reshaping our world. Police forces use them to decide where to send police officers, judges to decide whom to release on bail, welfare agencies to decide which children are at risk of abuse, and Facebook and Google to rank content and distribute ads. In these spheres, and many others, powerful prediction tools are changing how decisions are made, narrowing opportunities for the exercise of judgment, empathy, and creativity.
In Algorithms for the People, Josh Simons flips the narrative about how we govern these technologies. Instead of examining the impact of technology on democracy, he explores how to put democracy at the heart of AI governance.
Drawing on his experience as a research fellow at Harvard University, a visiting research scientist on Facebook’s Responsible AI team, and a policy advisor to the UK’s Labour Party, Simons gets under the hood of predictive technologies, offering an accessible account of how they work, why they matter, and how to regulate the institutions that build and use them.
He argues that prediction is political: human choices about how to design and use predictive tools shape their effects. Approaching predictive technologies through the lens of political theory casts new light on how democracies should govern political choices made outside the sphere of representative politics. Showing the connection between technology regulation and democratic reform, Simons argues that we must go beyond conventional theorizing of AI ethics to wrestle with fundamen