How explainable artificial intelligence can help humans innovate

AI algorithms can solve hard problems and learn incredible tasks, but they can't explain how they do these things. If researchers can build explainable AI, it could lead to a flood of new knowledge.

Forest Agostinelli, Assistant Professor of Computer Science, University of South Carolina • conversation
Jan. 13, 2021 ~7 min

Honour among thieves: the study of a cybercrime marketplace in action

Researchers at the Cambridge Cybercrime Centre have revealed what they’ve learned from analysing hundreds of thousands of illicit trades that took place in an

Cambridge University News • cambridge
Nov. 6, 2020 ~8 min

Experts consider the ethical implications of new technology

Faculty from the Computer Science and Philosophy departments join forces in a successful new undergraduate initiative, Embedded EthiCS, to change the way computer scientists think about the ethical implications of new technology.

Christina Pazzanese • harvard
Oct. 16, 2020 ~15 min

Women equal men in computing skill, but are less confident

The gender gap in computing performance has dramatically narrowed, but a confidence gap remains.

William Wagner, Associate Professor of Accountancy & Information Systems, Villanova University • conversation
Sept. 28, 2020 ~4 min

A language generation program's ability to write articles, produce code and compose poetry has wowed scientists

GPT-3 is the biggest, most creative language generation program to date. But with awesome power comes awesome responsibility.

Prasenjit Mitra, Associate Dean for Research and Professor of Information Sciences and Technology, Pennsylvania State University • conversation
Sept. 23, 2020 ~8 min

The tech field failed a 25-year challenge to achieve gender equality by 2020 – culture change is key to getting on track

Diversifying leadership can change organizational cultures, which removes barriers to women in the tech industry and academia.

Francine Berman, Hamilton Distinguished Professor of Computer Science, Rensselaer Polytechnic Institute • conversation
Aug. 26, 2020 ~8 min

Coronavirus: our study suggests more people have had it than previously estimated

Many more people have been infected with coronavirus than the statistics suggest.

Scott McLachlan, Postdoctoral Researcher in Computer Science, Queen Mary University of London • conversation
June 25, 2020 ~7 min

How fake accounts constantly manipulate what you see on social media – and what you can do about it

A social media researcher explains how bots and sock puppet accounts manipulate and polarize public debate.

Jeanna Matthews, Full Professor, Computer Science, Clarkson University • conversation
June 24, 2020 ~8 min

New programme to accelerate AI research capability at Cambridge

A new initiative at Cambridge will equip young researchers outside computer science with the skills they need to use machine learning and artificial

Cambridge University News • cambridge
June 24, 2020 ~4 min

Coronavirus: country comparisons are pointless unless we account for these biases in testing

We need to update models on death rates or introduce truly random testing to understand the true impact of the coronavirus.

Scott McLachlan, Postdoctoral Researcher in Computer Science, Queen Mary University of London • conversation
April 2, 2020 ~8 min

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