Harnessing AI for Societal Good – a Fireside Chat by the MIT Kuo Sharper Center
This conversation will discuss Professor Dahleh’s latest book. A deep dive will be taken into the power of AI when it is applied for societal good and the potential implications of that on the prosperity of growth markets. _
Data, Systems, and Society: Harnessing AI for Societal Good
Harnessing the power of data and AI methods to tackle complex societal challenges requires transdisciplinary collaborations across academia, industry, and government. In this compelling book, Munther A. Dahleh, founder of the MIT Institute for Data, Systems, and Society (IDSS), offers a blueprint for researchers, professionals, and institutions to create approaches to problems of high societal value using innovative, holistic, data-driven methods. More
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The first podcast on control theory.
Episode 27: Munther Dahleh on L1 control, agile robotic maneuvering, abstractions, cascaded failures, markets, data and systems for societal problems
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IDSS Data Nation
We face many overwhelming challenges in America today: systemic racism, data privacy, and political misinformation. Scholars and industry experts often disagree on how to find solutions. So, how can we find the right way to move forward? We let the data speak for itself.
Join hosts Liberty Vittert and Munther Dahleh on Data Nation, a production of MIT's Institute for Data, Systems, and Society. Available on on Apple, Spotify, or other podcast platforms.
The Munther Dahleh Research Group works in the general area of “Decisions Under Uncertainty”.
The group addresses foundational issues in terms of fundamental limits and capabilities of real-time decision-making under uncertainty, societal challenges in specific domains such as finance, transportation, power grid and digital platforms, and translation challenges by working directly with stakeholders.