Exploring how social networks can influence our lives in business, health, governance, and technology adoption and diffusion

There’s an accelerating cat-and-mouse game between web publishers and AI crawlers, and we all stand to lose.

Perspective aware AI enables the creation of specialized Human-Ai agent surrogates.

How could the increased use of AI lead humans to form addictive relationships with AI?

Robert Mahari talks to host Krys Boyd about the potential risks of human-AI companionship.

A system proposed by researchers from MIT, OpenAI, Microsoft, and others could curb the use of deceptive AI.

Researchers find large language models make inconsistent decisions about whether to call the police when analyzing surveillance videos.

Something peculiar and slightly unexpected has happened: people have started forming relationships with AI systems.

AI agents could soon become indistinguishable from humans online. Could “personhood credentials” protect people against digital imposters?

Authors are Roberto Rigobon, the Society of Sloan Fellows Professor of Management at MIT Sloan, and postdoctoral associate Isabella Loaiza.

In the struggle over who can train AI models and how, there’s a casualty many people don’t realize: The open web.

As junk web pages written by AI proliferate, the models that rely on that data will suffer.

After identifying major flaws in popular AI models, researchers are pushing for a new system to identify and report bugs.

New research from the Data Provenance Initiative has found a dramatic drop in content made available to the collections used to build AI.

As more deepfakes find their way onto the internet, we need to find the best way to detect these harmful videos.

Michael Casey sits down with MIT Professor Alex “Sandy” Pentland to discuss data ownership, data control, crypto, and AI technologies as th…

Professor Alex ‘Sandy’ Pentland was among the experts participating in a panel discussion on how AI may affect the 2024 elections.

Professor Alex 'Sandy' Pentland and other experts explore the potential of customized AI models trained with organization-specific data.

Media Lab alumni Ziv Epstein and Alexander Reben joined a panel discussion on the creative future of generative AI.

The papers are intended as a resource for US policymakers.

PhD student Shayne Longpre (Human Dynamics) discusses an open letter he co-authored with collaborators.

The research on video doorbells—which includes a paper from the Human Dynamics group—hasn't found strong evidence that they reduce crime.

In a new working paper, researchers consider the most effective ways to label online content as AI-generated, misleading, or both.

Robert Mahari, a PhD student in the Human Dynamics group, and other experts talk to Inside Higher Ed about copyright & generative AI tools.

In Scientific American, Dr. Alex Lipton and Media Lab Professor Alex ‘Sandy’ Pentland call for the creation of new banking regulations.

GeekWire reports on research that people were less likely to visit socioeconomically different areas while returning to pre-pandemic habits.

Media Lab Professor Alex 'Sandy' Pentland, MIT CSAIL Director Daniela Rus, and Prof. Josh Tenenbaum discuss the future of intelligence.

Postdoc Ziv Epstein, PhD student Robert Mahari, & Harvard Law lecturer Jessica Fjeld consider the issues of generative AI and copyright law.

Media Lab PhD student Isabella Loaiza is building data-driven tools to help people all over the world navigate the future of work.

In a new study, researchers from MIT and other universities show that personal mobility during the Covid-19 pandemic hasn't fully recovered.

Ziv Epstein, a researcher in the Human Dynamics group, discusses the relationship between humans and AI and where it could be headed.

Lawsuits over the development and use of AI tools can have huge implications on the creative process and intellectual property ownership.

Newly published research shows that a focus on sharing can make it harder for social media users to tell whether content is accurate.

Public interest tax analyst Don Griswold introduces Tech for Transparency, inspired by Media Lab Professor Alex Pentland's research.

A global "AI Bill of Rights" that would help protect fairness, promote accountability, support innovation, and develop ethical guidelines.

Of 25 proposed interventions for democracy tested, one developed by Human Dynamics researchers was among the most effective.

Critics, practitioners, and researchers like Human Dynamics PhD student Ziv Epstein talk about AI-generated art..

Human Dynamics group members explore how technical CBDC design choices can be used to make a CBDC inherently resistant to money laundering.

Ziv Epstein talks about his latest research project, which will attempt to "map the networks of cooperation and serendipity at Burning Man."

New research shows that detecting digital fakes generated by machine learning might be a job best done with humans still in the loop.