Can basic income address the future of automated work? Should a public agency certify algorithms? How would we regulate AI-based decisions on platforms? Should there be ownership rights in data that fuel algorithms?  

With artificial intelligence rapidly transforming every aspect of our world, calls for regulation, governance, and oversight are on the rise. During the HAI 2021 Fall Conference, we will consider four radical proposals for governing AI. Each substantive session will feature the short presentation of one radical proposal with discussion by a panel of experts from multiple disciplines and backgrounds.

The Stanford Institute for Human-Centered Artificial Intelligence invites you to propose a radical policy idea. Our panel of experts will review the submissions and choose proposals to discuss live at the conference. Policy ideas should be focused on the impact of artificial intelligence on humanity.

We welcome policy proposals from anyone, living anywhere, aimed at any geography or level of government. This event is not limited to the United States. 

Deadline for proposals: May 10, 2021. Selections will be announced by June 30, 2021

Eligibility: Open to the public. Limit one submission per person.

Some products become a lot more valuable when you are forced to sit at home all day due to a pandemic. A serendipitous study of consumers in the UK tells us exactly which ones.

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Understanding how a country’s mix of occupations, technology infrastructure, and demographic characteristics have affected people’s ability to work from home can help government and business leaders prepare for future disruptions.

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Today, however, we have increasing inequality, not economic convergence. Technological advances are putting quality jobs out of reach for workers who lack the proper skills and training.

MIT’s William Bonvillian and Sanjay Sarma recently joined Stanford Digital Economy Lab Director Erik Brynjolfsson to discuss their book, Workplace Education: A New Roadmap. The new release offers a roadmap for rebuilding America’s working class and argues that we need to train more workers more quickly with innovative methods of workforce education being developed across the country.

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Stanford Digital Economy Lab Director Erik Brynjolfsson joins the Sprint to Success with Design Thinking podcast to discuss reinventing industries and shaping our destiny in an era of rapid digital transformation. Erik shares his optimistic view of the relationship between humans and machines, and talks about the need to reinvent education. 

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Macroeconomic indicators can be precisely measured, but they tell only part of the story. Well-being metrics convey a truer picture of how consumers are doing, but they are more subjective. By considering an array of measures, including our GDP-B metric, policy makers, regulators, and investors can establish a better foundation for decision making.

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In his new book, The Hype Machine, Sinan demonstrates how social media affects our decision-making and shapes our world in ways both useful and dangerous. 

Stanford Digital Economy Lab Director Erik Brynjolfsson recently sat down (virtually) with Sinan to talk about how social media is shaping information, behaviors, and society—including our elections.

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How is AI changing the future of work? What digital-technology practices and policies will promote fairness and equality? How can government incorporate digital technologies to best serve constituents?

These and other questions took center stage at Stanford Digital Economy Lab’s inaugural event, the AI & the Future of Work Conference, on Oct. 27, 2020. The virtual conference assembled a roster of visionary researchers, executives, and policy experts to share their perspectives on the impact of AI and other digital technologies.

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