All Blog Posts

Dr. Mando Rachovitsa, University of Groningen, delves into the court case that challenged the Dutch government’s use of an algorithmic decision-making system aimed at combatting fraud in its social welfare programs. She explains why the judgment has been lauded as a “landmark ruling“ for addressing the human rights implications of the digital welfare state .

MIT Professor Daron Acemoglu examines data sharing; he looks at both the potential benefits that come from predictive big data approaches as well as the negative effects of data transactions.

George Washington University law professor Daniel Solove provides his list of notable books on privacy and security from 2019.

George Washington University law professor Daniel Solove provides his list of notable books on privacy and security from 2018.

Several TAP scholars will be sharing their insights during next week’s FTC Hearing on whether changes in the economy, new technologies, or international developments warrant adjustments to the competition and consumer protection laws and policies.

Stanford economics professor Susan Athey explains why she believes the field of economics and machine learning is “on the verge of exploding.”

In the current digital economy, where consumers’ personal information is gathered, tracked, and used for corporate gain, Harvard professor Jonathan Zittrain and Yale professor Jack Balkin question how consumers can trust online services when there are no real guarantees that online platforms will not abuse that trust.

Glen Weyl discusses his new paper about the value of users’ roles in providing the big data that fuels systems of automation and machine learning.

George Washington University law professor Dan Solove provides his list of notable books on privacy and security from 2017.

In a recent Wall Street Journal article, AI Now co-founder Kate Crawford stresses that “digital brains can be just as error-prone and biased as ours.”