3 Questions. 3 Hints. 3 Answers.
October 25, 2016
- How do you know, if it’s not compellingly obvious, whether you have been a victim of a crime?
Hint:
Answer: marketed as a first step in criminal acts assessment, LawBot, brainchild of four University of Cambridge law students, is helping potential victims of crime assess if they are just that. One of the biggest challenges faced so far is programming the chatbot to be more human — both in its understanding capabilities and in its response. And getting the support of faculty. Read more here.
2. What might be the next-best predictor of the outcome of a court case?
Hint:
Answer: well, not quite. But algorithms are getting much better at predicting case outcomes. According to a recent study, researchers at University College London, the University of Sheffield and the University of Pennsylvania predicted the correct outcome of cases tried by the European Court of Human Rights — by 79%. Seems AI is slowly encroaching on much of the legal system. Read the story here.
3. Want to put a name to that face? Just go here:
Hint:
Answer: getting down to the nitty gritty: “[h]alf of American adults — more than 117 million people — are in a law enforcement face recognition network, according to a” Center on Privacy & Technology report @ Georgetown Law. The study, The Perpetual Line-Up: Unregulated Police Face Recognition in America, highlights that “[o]f the fifty-two government agencies that acknowledged using face recognition, only one obtained legislative approval for its use and only one agency provided evidence that it audited officers’ face recognition searches for misuse. Not one agency required warrants, and many agencies did not even require an officer to suspect someone of committing a crime before using face recognition to identify her.” Lovely. Read the details here.