We need an algorithmic bill of rights before algorithms do us wrong

(Outlet: Fast Company) Kartik Hosanagar, AI at Wharton faculty co-director, authors a piece on Michael Kearns, a prominent machine learning researcher, who has emphasized the need for an “algorithmic bill of rights” to address the bias in algorithms used in socially sensitive applications. He suggests four main pillars: 1) the right to access information about the data used in training algorithms, 2) the right to understand how algorithms work, 3) the right to have some level of control over algorithms, and 4) the responsibility to be aware of the unanticipated consequences of automated decision-making. Kearns encourages a collaborative effort involving scientists, business leaders, regulators, and users to shape the impact of algorithms on society.