Special Issue 5: Grappling With the Generative AI Revolution · Harvard Data Science Review

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From the Editors

Future Shock: Grappling With the Generative AI Revolution

by David Leslie and Xiao-Li Meng

Published: May 31, 2024

General Articles

An Information-Theoretic Approach for Detecting Edits in AI-Generated Text

by Idan Kashtan and Alon Kipnis

Published: Aug 15, 2024

Forthcoming. Now Available: Just Accepted Version.

Toward a Theory of AI Errors: Making Sense of Hallucinations, Catastrophic Failures, and the Fallacy of Generative AI

by Veronica Barassi

Published: Sep 03, 2024

Forthcoming. Now Available: Just Accepted Version.

Can ChatGPT Plan Your Retirement?: Generative AI and Financial Advice

by Andrew W. Lo and Jillian Ross

Published: Aug 06, 2024

The Turing Transformation: Artificial Intelligence, Intelligence Augmentation, and Skill Premiums

by Ajay Agrawal, Joshua Gans, and Avi Goldfarb

Published: May 31, 2024

Institutional Efforts to Help Academic Researchers Implement Generative AI in Research

by Jing Liu and H. V. Jagadish

Published: May 31, 2024

AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap

by Q. Vera Liao and Jennifer Wortman Vaughan

Published: May 31, 2024

How Can Large Language Models Help Humans in Design and Manufacturing? Part 1: Elements of The LLM-Enabled Computational Design and Manufacturing Pipeline

by Liane Makatura, Michael Foshey, Bohan Wang, Felix Hähnlein, Pingchuan Ma, Bolei Deng, Megan Tjandrasuwita, Andrew Spielberg, and 10 more

Published: May 28, 2024

Forthcoming. Now Available: Just Accepted Version.

How Can Large Language Models Help Humans in Design And Manufacturing? Part 2: Synthesizing an End-to-End LLM-Enabled Design and Manufacturing Workflow

by Liane Makatura, Michael Foshey, Bohan Wang, Felix Hähnlein, Pingchuan Ma, Bolei Deng, Megan Tjandrasuwita, Andrew Spielberg, and 10 more

Published: May 28, 2024

Forthcoming. Now Available: Just Accepted Version.

Policy Forum

Future Shock: Generative AI and the International AI Policy and Governance Crisis

by David Leslie and Antonella Maia Perini

Published: May 31, 2024

We Must Fix the Lack of Transparency Around the Data Used to Train Foundation Models

by Jack Hardinges, Elena Simperl, and Nigel Shadbolt

Published: May 31, 2024

Scaling Up Mischief: Red-Teaming AI and Distributing Governance

by Jacob Metcalf and Ranjit Singh

Published: May 31, 2024

Castles in the Sand?: How the Public Sector and Academia Can Partner in Regulatory Sandboxes to Help Leverage Generative AI for Public Good

by Alex Moltzau and Robindra Prabhu

Published: May 31, 2024

Unpacking AI Governance From the Margins

by Shmyla Khan

Published: May 31, 2024

From Left Behind to Left Out: Generative AI or the Next Pain of the Unconnected

by Jean Louis Kedieng Ebongue Fendji

Published: May 31, 2024

Toward International Cooperation on Foundational AI Models: An Expanded Role for Trade Agreements and International Economic Policy

by Joshua P. Meltzer

Published: May 31, 2024

AI and Creative Work

by Seamus McGibbon and Nicola Solomon

Published: May 31, 2024

Government Interventions to Avert Future Catastrophic AI Risks

by Yoshua Bengio

Published: Jun 04, 2024

AI Safety Is a Narrative Problem

by Rachel Coldicutt

Published: Jun 05, 2024

Carbon Emissions in the Tailpipe of Generative AI

by Tamara Kneese and Meg Young

Published: Aug 20, 2024

Data Protection and Generative AI: An Inconclusive Answer

by Romina Garrido

Published: May 31, 2024

Forthcoming. Now Available: Just Accepted Version.

‘Frontier AI,’ Power, and the Public Interest: Who Benefits, Who Decides?

by David Leslie, Carolyn Ashurst, Natalia Menéndez González, Frances Griffiths, Smera Jayadeva, Mackenzie Jorgensen, Michael Katell, Shyam Krishna, and 9 more

Published: Sep 09, 2024