AI’s big challenge: how to engineer in social responsibility

The current discussion around artificial intelligence is beginning to resemble the process of buying a shiny new car. There is a great deal of time and energy devoted to haggling over the cost and options before anyone actually gets to drive the vehicle and finds out what it can do.
At the center of the debate is whether AI has the proper guardrails to ensure responsible future use, as concerns continue around issues such as gender or racial bias in AI-driven facial recognition and hiring algorithms.
These concerns were further highlighted over the course of two days this week at EmTech Digital 2019, MIT Technology Review’s annual conference held in San Francisco. Interspersed between sessions on AI chipsets and robotics were weighty topics such as Ethics in AI, The Human Impact of AI, and AI for Good.

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