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 ethical innovation and data dignity


How executives can prioritize ethical innovation and data dignity in A.I.

#artificialintelligence

The concern is so prevalent that new responsible A.I. measures have been floated by federal government, requiring companies to vet for these biases and to run systems past humans to avoid them. Ray Eitel-Porter, managing director and global lead for responsible A.I. at Accenture, outlined during a virtual event hosted by Fortune on Thursday that the tech consulting firm operates around four "pillars" for implementing A.I.: principles and governance, policies and controls, technology and platforms, and culture and training. "The four pillars basically came from our engagement with a number of clients in this area and really recognizing where people are in their journey," he said. "Most of the time now, that's really about how you take your principles and put them into practice." Many companies these days have an A.I. framework.

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