When Developers Can’t Explain Their AI, Laws No Longer Apply

When Developers Can’t Explain Their AI, Laws No Longer Apply

The hows and whys of the decisions of machine-learning algorithms are increasingly opaque, even to their programmers. That makes laws and norms increasingly difficult to apply.

By Lynne Peskoe-Yang | May 23, 2018 | Artificial Intelligence, Ethics, Health, Law, Prediction, Society | Accountability, AI, Algorithms, Asimov's Laws, Big Data, Black Boxes, Code, Corruption, Crime, Deep Learning, Efficiency, Fake News, Google, Harm, Health Care, Injustice, Isaac Asimov, Judgment, Law, Neural Networks, Palantir, Power, Predictive Policing, Programming, Racial Bias, Robots, Rules, Social Groups, Syntax, The Brain, Trust, Unintended Consequences

The Suicide Algorithm: Facebook’s Self-Appointed Role in Mental Health

Facebook’s invasive attempts to identify suicidal individuals, while collecting revenue from advertisers targeting them, may do more harm than good.

By Lucy Uprichard | June 28, 2017 | Advertising, Artificial Intelligence, Ethics, Health, Media, Prediction, Psychology | Advertising, AI, Algorithms, Anxiety, Artificial Intelligence, Care, Community, Depression, Facebook, Forums, Health Care, Insecurity, Intervention, Medicine, Mental Health, Profiling, Suicidal Ideation, Suicide, The Australian, The Guardian, Therapy, Trust, Vice

Expert, Texpert: Wiki Laughs at You

The World Book Encyclopedia boasts that “outstanding scholars and specialists” from major academic fields plan and evaluate its articles. In [...]

By Dan Rosenberg | April 6, 2016 | Culture, Education, Knowledge | Accountability, Accuracy, Crowdsourcing, Digital Vandalism, Encyclopaedia Brittanica, Encyclopedias, Expertise, Gregory Kohs, Lila Tretikov, Trust, Wikipedia, World Book