MIT Executive MBA Program’s Post

MIT Thinking Forward Special Report: AI and a Furture of Machine Usefulness Nobel Prize winners on deploying tech to complement humans Two MIT economists last week were awarded the Nobel Memorial Prize in Economic Sciences for their research on the relationship between political systems and economic growth. That work has its origins in a 2001 research paper and has implications for repairing the state of democracy worldwide. In recent years, Institute Professor Daron Acemoglu and MIT Sloan professor Simon Johnson — who shared the prize with James Robinson of the University of Chicago — have focused on technological development, examining both the potential economic and social damage of new technologies, as well as their potential to become empowering and democratizing tools. To be the latter, technology will need to complement human capabilities rather than replace them.

New EU Science Advice on AI: EU should create competitive infrastructures and incentives to ensure AI in research aligns with EU core values. Urgent need to counter AI capabilities now being controlled by the US and China. EU should prioritise AI-powered research in areas like personalised health, social cohesion, and the green and digital transitions, to bring the greatest benefits for EU citizens.    Big congrats to my fmr Elsevier colleague Paul Groth who helped formulate this landmark EU advice!   #AI #TechForGood #ScienceAdvice #SciPol #SciencePolicy #Sustainability https://lnkd.in/e48_pWCK

Could AI actually be harming scientific progress? I explore the risks of integrating emerging AI technologies with scientific research (across all domains). I highlight a recent research paper published in the March 7th edition of Nature Magazine by Lisa Messeri and M.J. Crockett, and emphasize the concept of 'the weird,' and its critical place in our knowledge formation networks. link below gets you behind the paywall: https://lnkd.in/gfwRBPCz

Hot off the press! My first ever academic contribution is now published in "AI & Society"—a journal I've turned to many times while working on my first and second MA theses. A few months ago Dr Claudio Celis Bueno and Dr Pei-Sze Chow invited me to join their research project and this article is the result of that wonderful collaboration. In the paper we explore the impact of generative AI on creativity within cultural and creative industries, challenge the assumptions and conventional definitions of what "creativity" is and propose a relational-materialist perspective that considers creativity as emerging from the interactions between technologies, practices, and social arrangements. Read it, quote it, enjoy it! https://lnkd.in/d7vkNpXi

AI NATIONALISM(S) Executive Summary #wortharead "In this essay collection we survey the nationalist narratives and emergent industrial policies being proposed by governments with differing economic and geopolitical motivations." #ai #policydevelopment https://lnkd.in/etY2SEjx

Earlier this year, the Allen Lab for Democracy Renovation at the Ash Center convened a multidisciplinary conference on the political economy of artificial intelligence (AI) that brought together scholars and practitioners from the worlds of policy, industry, and academia to examine contemporary paradigms for and trajectory of AI development. This event sought to produce a research agenda that brings critical approaches to political economy to questions about power, technology, and democracy in the context of rapid AI development. After the conclusion of the event, several participants wrote short essays building on the discussions at the conference. These wide-ranging essays showcase the problems of our existing AI development and deployment ecosystem and advance new ideas for pursuing a path for AI in the public interest that better serves all people and communities. To learn more about the conference and to explore this essay collection, click the link below ⤵️ https://lnkd.in/gSP9AjzB

🚀 𝗔𝗜 𝗢𝘂𝘁𝘀𝗵𝗶𝗻𝗲𝘀 𝗛𝘂𝗺𝗮𝗻 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵𝗲𝗿𝘀 𝗶𝗻 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗻𝗴 𝗡𝗼𝘃𝗲𝗹 𝗜𝗱𝗲𝗮𝘀! 🤖 "The concepts were judged by reviewers. They were not told who or what had created them." A recent study published in Nature reveals that an AI-powered ideas generator has outperformed 50 scientists in creating original research concepts. 𝙏𝙝𝙚 #𝘼𝙄 𝙩𝙤𝙤𝙡, 𝙙𝙚𝙫𝙚𝙡𝙤𝙥𝙚𝙙 𝙪𝙨𝙞𝙣𝙜 𝘾𝙡𝙖𝙪𝙙𝙚 3.5 𝙗𝙮 #𝘼𝙣𝙩𝙝𝙧𝙤𝙥𝙞𝙘, 𝙜𝙚𝙣𝙚𝙧𝙖𝙩𝙚𝙙 4,000 𝙣𝙤𝙫𝙚𝙡 𝙞𝙙𝙚𝙖𝙨 𝙖𝙘𝙧𝙤𝙨𝙨 𝙨𝙚𝙫𝙚𝙣 𝙧𝙚𝙨𝙚𝙖𝙧𝙘𝙝 𝙩𝙤𝙥𝙞𝙘𝙨 📌 Reviewers, unaware of the source, rated the AI-generated ideas as more exciting than those from human researchers, although slightly lower in feasibility. 📌 This groundbreaking experiment highlights the potential of AI in revolutionizing research and innovation. As AI continues to evolve, it could become an invaluable tool for scientists, helping to push the boundaries of knowledge and creativity. 💡 𝘏𝘰𝘸 𝘮𝘪𝘨𝘩𝘵 𝘵𝘩𝘦 𝘪𝘯𝘵𝘦𝘨𝘳𝘢𝘵𝘪𝘰𝘯 𝘰𝘧 𝘈𝘐-𝘨𝘦𝘯𝘦𝘳𝘢𝘵𝘦𝘥 𝘪𝘥𝘦𝘢𝘴 𝘪𝘯𝘵𝘰 𝘵𝘩𝘦 𝘴𝘤𝘪𝘦𝘯𝘵𝘪𝘧𝘪𝘤 𝘳𝘦𝘴𝘦𝘢𝘳𝘤𝘩 𝘱𝘳𝘰𝘤𝘦𝘴𝘴 𝘪𝘮𝘱𝘢𝘤𝘵 𝘵𝘩𝘦 𝘵𝘳𝘢𝘥𝘪𝘵𝘪𝘰𝘯𝘢𝘭 𝘳𝘰𝘭𝘦𝘴 𝘢𝘯𝘥 𝘳𝘦𝘴𝘱𝘰𝘯𝘴𝘪𝘣𝘪𝘭𝘪𝘵𝘪𝘦𝘴 𝘰𝘧 𝘩𝘶𝘮𝘢𝘯 𝘳𝘦𝘴𝘦𝘢𝘳𝘤𝘩𝘦𝘳𝘴, 𝘢𝘯𝘥 𝘸𝘩𝘢𝘵 𝘦𝘵𝘩𝘪𝘤𝘢𝘭 𝘤𝘰𝘯𝘴𝘪𝘥𝘦𝘳𝘢𝘵𝘪𝘰𝘯𝘴 𝘴𝘩𝘰𝘶𝘭𝘥 𝘣𝘦 𝘢𝘥𝘥𝘳𝘦𝘴𝘴𝘦𝘥 𝘵𝘰 𝘦𝘯𝘴𝘶𝘳𝘦 𝘢 𝘣𝘢𝘭𝘢𝘯𝘤𝘦𝘥 𝘢𝘯𝘥 𝘤𝘰𝘭𝘭𝘢𝘣𝘰𝘳𝘢𝘵𝘪𝘷𝘦 𝘧𝘶𝘵𝘶𝘳𝘦 𝘪𝘯 𝘪𝘯𝘯𝘰𝘷𝘢𝘵𝘪𝘰𝘯? 🤔 𝗗𝗼 𝘆𝗼𝘂 𝗯𝗲𝗹𝗶𝗲𝘃𝗲 𝘁𝗵𝗮𝘁 𝘁𝗵𝗲 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗔𝗜 𝗶𝗻 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗻𝗴 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗶𝗱𝗲𝗮𝘀 𝗶𝘀 𝗽𝘂𝘀𝗵𝗶𝗻𝗴 𝘁𝗵𝗲 𝗯𝗼𝘂𝗻𝗱𝗮𝗿𝗶𝗲𝘀 𝘁𝗼𝗼 𝗳𝗮𝗿, 𝗼𝗿 𝗶𝘀 𝗶𝘁 𝘀𝗶𝗺𝗽𝗹𝘆 𝗼𝗽𝗲𝗻𝗶𝗻𝗴 𝘂𝗽 𝗻𝗲𝘄 𝗵𝗼𝗿𝗶𝘇𝗼𝗻𝘀 𝗳𝗼𝗿 𝗶𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗱𝗶𝘀𝗰𝗼𝘃𝗲𝗿𝘆? Compiled by:Hassiba Belahbib #AI #research #innovation #science #technology

Thank you to the Harvard Data Science Review for featuring MIDAS leadership in the latest issue! Click to read full article: https://lnkd.in/ehdWNZuY "The article by Jing Liu and H. V. Jagadish (2024) on “Institutional Efforts to Help Academic Researchers Implement Generative AI in Research” hit home for both of us, as academic researchers. Liu and Jagadish discuss how generative AI is (future) shocking “the traditional academic research model in fundamental ways.” Their concerns range from ill-preparedness among researchers who do not know how to responsibly use or apply GenAI technologies to their work, to research outcomes created by rushed adoption that lack in ethics, rigor, and reproducibility. The authors stress that these concerns are not unique to generative AI, “but could also be true for other upcoming and similarly disruptive technologies,” that is, other future shocks. The article calls for research institutions to develop new mechanisms to help researchers more responsibly adopt especially disruptive technologies that can cause seismic changes."

🌟 Stanford University launches an enlightening initiative: The Digitalist Papers. 📘 These essays draw parallels between AI's advancements and the Industrial Revolution, urging for democratic participation in AI governance. Discover how this could shape the future of technology and society. A must-read for professionals in tech, policy, and beyond. #InnovationForSociety #FutureOfWork #AIethics 👩💼👨💼🤖

What happens when AI development runs into an all-controlling political force such as the ruling Communist Party in China? According to Monitor editorial writers, China currently relies heavily on AI models from the US and elsewhere. To change that, China's Premier, Li Qiang, said the country must allow its AI researchers a relaxed environment to achieve scientific breakthroughs. He promised more leeway for a "trial and error" culture in AI labs. Will this move boost the country's homegrown AI industry? Read on... #AI #China #Research #Development #trendingtopics https://lnkd.in/gHiR_t2C