How can AI policy be pro-worker?
Simon Johnson suggests that 'initiatives like the DARPA self-driving car, but applied to augmenting technology' would help foster pro-worker technological innovation.
Watch the discussion with @RobinHanson and Center for AI Policy: youtube.com/watch?v=ukeXjc…

Does automation raise or lower wages? The answer: it depends.

'Wages are unlikely to rise when workers cannot push for their share of productivity growth.'

Read the working paper from Daron Acemoglu and Simon Johnson.

shapingwork.mit.edu/research/learn…

MIT professor Daron Acemoglu, MIT Sloan economist Simon Johnson, and their co-authors examine the barriers, risks, and potential rewards of using generative AI for design and manufacturing. mitsloan.co/3JnXeAQ

Since its release in May 2023, Power and Progress by Daron Acemoglu and Simon Johnson has been published in 12 languages (with more to come), featured on 18 booklists, and nominated for 3 awards.

Learn more: shapingwork.mit.edu/power-and-prog…

🔥Now in press at PNAS Nexus 🔥

We provide a state-of-the-art, interdisciplinary overview of generative AI’s potential impacts on (mis)information and three information-intensive domains: work, education, and healthcare.

Our goal is to highlight how generative AI could worsen…

Last week, Simon Johnson joined @RobinHanson and Jason Green-Lowe in a briefing for congressional staff on AI, Automation, and the Workforce, organized by Center for AI Policy. Watch the recording here: youtube.com/watch?v=ukeXjc…

The threat that artificial intelligence poses to good jobs is not as new or unprecedented as it seems, note Daron Acemoglu and Simon Johnson. bit.ly/4aV8f8F

Links to purchase the Japanese edition (volumes 1 and 2) of my book Power and Progress with Simon Johnson – as well as more information on all of our international editions – is available here. shapingwork.mit.edu/power-and-prog…

Poder e Progresso: Uma luta de mil anos entre a tecnologia e a prosperidade, the Brazilian edition of Power and Progress by Daron Acemoglu and Simon Johnson, was released today from Editora Objetiva.
Get your copy here: companhiadasletras.com.br/livro/97885390…

What can history teach us about the future of #AI ? In a new working paper, Daron Acemoglu and Simon Johnson find that mechanization dramatically reduced cotton weavers' wages, and apply lessons from this early example of automation to the age of AI.

shapingwork.mit.edu/research/learn…

On Tuesday, April 23rd, 2024 the Center for AI Policy held a briefing for House and Senate staff on AI, Automation, & the Workforce—Surveying the Future of Work.

The speakers @RobinHanson (George Mason University) and Simon Johnson (@baselinescene, MIT), moderated by Jason…

Read the latest policy brief from Daron Acemoglu and Simon Johnson, who argue we need a significant digital advertising tax to push social media companies away from a harmful business model of “attention above all' and 'boundless data collection.”

shapingwork.mit.edu/research/the-u…

Poder e Progresso: A nossa luta milenar pela tecnologia e prosperidade, the Portuguese edition of Power and Progress by Daron Acemoglu and Simon Johnson, is now available (Brazilian edition coming April 30). Get your copy here: temasedebates.pt/produtos/ficha…

(1/5) Can David Ricardo, a founder of modern economics in the early 1800s, teach us something about #AI ? 👇🧵

project-syndicate.org/commentary/ai-…

In the third edition of his seminal work of political economy, David Ricardo noted that, “If machinery could do all the work that labour now does, there would be no demand for labour.” The same warning holds today, write Daron Acemoglu and Simon Johnson. bit.ly/3UrwK7I

The threat that artificial intelligence poses to good jobs is not as new or unprecedented as it seems, note Daron Acemoglu and Simon Johnson. bit.ly/3UrwK7I

MIT professor Daron Acemoglu, MIT Sloan economist Simon Johnson, and their co-authors examine the barriers, risks, and potential rewards of using generative AI for design and manufacturing. mitsloan.co/3JnXeAQ

Recent research from AusTangential, Daron Acemoglu, Simon Johnson and co-authors on applying #AI in manufacturing is part of a larger, open-access collection of papers from Massachusetts Institute of Technology (MIT) on the impacts of generative AI. Learn more from Massachusetts Institute of Technology (MIT)Sloan.
mitsloan.mit.edu/ideas-made-to-…

Instead of continuing to emphasize automation, a human-centric approach to the next generation of #AI technologies in #manufacturing could enhance workers' skills and boost productivity.

mit-genai.pubpub.org/pub/9s6690gd/r…

AusTangential Daron Acemoglu Simon Johnson Faez Ahmed MIT MechE

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