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Category Archives: AI

Google Duplex: An AI System for Accomplishing Real-World Tasks Over the Phone

Google AI Blog: “A long-standing goal of human-computer interaction has been to enable people to have a natural conversation with computers, as they would with each other. In recent years, we have witnessed a revolution in the ability of computers to understand and to generate natural speech, especially with the application of deep neural networks… Continue Reading

CRS Report – Artificial Intelligence and National Security

CRS report via FAS – Artificial Intelligence and National Security  – Daniel S. Hoadley, US Air Force Fellow; Nathan J. Lucas, Section Research Manager, April 26, 2018. “Artificial Intelligence (AI) is a rapidly growing field of technological development with potentially significant implications for national security. As such, the U.S. Department of Defense (DOD) is developing AI… Continue Reading

In Codice Ratio – research project delves into handwritten texts of Vatican Secret Archives

“In Codice Ratio is a research project that aims at developing novel methods and tools to support content analysis and knowledge discovery from large collections of historical documents. The goal is to provide humanities scholars with novel tools to conduct data-driven studies over large historical sources. The project concentrates on the collections of the Vatican… Continue Reading

Paper – Privacy and Freedom of Expression In the Age of Artificial Intelligence

Privacy and Freedom of Expression In the Age of Artificial Intelligence – April 2018. Joint Paper by Privacy International and ARTICLE 19 [a global human rights organisation, which works around the world to protect and promote the right to freedom of expression and information (‘freedom of expression’). Established in 1987, with its international office in… Continue Reading

Paper – Labor 2030: The Collision of Demographics, Automation and Inequality

Labor 2030: The Collision of Demographics, Automation and Inequality. February 07, 2018. Bain report. “Demographics, automation and inequality have the potential to dramatically reshape our world in the 2020s and beyond. Our analysis shows that the collision of these forces could trigger economic disruption far greater than we have experienced over the past 60 years.… Continue Reading

Points of Law Wins 2018 AALL New Product Award

American Association of Law Libraries Recognizes Bloomberg Law AI and Machine Learning Tool – “The American Association of Law Libraries (AALL) has named Points of Law as its 2018 New Product Award winner. Introduced in 2016 using artificial intelligence and machine learning to assist in legal research, Points of Law is a product of Bloomberg… Continue Reading

Algorithmic Impact Assessments: A Practical Framework for Public Agency Accountability

GCN:  Algorithmic Impact Assessments: A Practical Framework for Public Agency Accountability, a report by the AI Now Institute, a partnership between New York University, the American Civil Liberties Union and the Partnership on AI. [h/t Pete Weiss] Why: As public agencies increasingly turn to automated processes and algorithms to make decisions, they need frameworks for… Continue Reading

The premise that AI will save Facebook is – false

Quartz: “…Facebook’s challenge is finding all these permutations of hate speech, bullying, threats, and terrorism, in order to train its AI to look out for similar examples. The problem gets messier because not everyone can agree what makes a post harmful or abusive. Facebook faced this problem in 2016 when the social media platform was… Continue Reading

Keyword searchable transcript of Facebook CEO Mark Zuckerberg Hearing on Data Privacy and Protection

C-SPAN video and keyword searchable text – Facebook CEO Mark Zuckerberg Hearing on Data Privacy and Protection. Mark Zuckerberg, the CEO of Facebook, testified before a joint hearing by the Senate Judiciary & Commerce Committees on access to user’s data, April 12,10, 2018. See also – Transcript via Bloomberg Government available on the Wasington Post… Continue Reading

Stanford researchers use machine-learning algorithm to measure changes in gender, ethnic bias in U.S.

Stanford News: New Stanford research shows that, over the past century, linguistic changes in gender and ethnic stereotypes correlated with major social movements and demographic changes in the U.S. Census data. “Artificial intelligence systems and machine-learning algorithms have come under fire recently because they can pick up and reinforce existing biases in our society, depending… Continue Reading

Hand-crafted fact-checking matters in an algorithmic world

Inside Higher Education: “It’s International Fact-Checking Day, a project of the Poynter Institute. What a quaint concept! It’s intrinsic to good journalism, but it can’t be done by algorithm or en masse – it’s lovingly hand-crafted work in pursuit of nailing down something that’s often ambiguous and needs to be considered in context and without… Continue Reading

An AI just beat top lawyers at their own game

Mashable: “The nation’s top lawyers recently battled artificial intelligence in a competition to interpret contracts — and they lost.  A new study, conducted by legal AI platform LawGeex in consultation with law professors from Stanford University, Duke University School of Law, and University of Southern California, pitted twenty experienced lawyers against an AI trained to… Continue Reading