Mike Walsh, Harvard Business Review; Why Business Leaders Need to Understand Their Algorithms
"Leaders will be challenged by shareholders, customers, and regulators
on what they optimize for. There will be lawsuits that require you to
reveal the human decisions behind the design of your AI systems, what
ethical and social concerns you took into account, the origins and
methods by which you procured your training data, and how well you
monitored the results of those systems for traces of bias or
discrimination. Document your decisions carefully and make sure you
understand, or at the very least trust, the algorithmic processes at the
heart of your business.
Simply arguing that your AI platform was a black box that no one
understood is unlikely to be a successful legal defense in the 21st
century. It will be about as convincing as “the algorithm made me do
it.”"
Issues and developments related to ethics, information, and technologies, examined in the ethics and intellectual property graduate courses I teach at the University of Pittsburgh School of Computing and Information. My Bloomsbury book "Ethics, Information, and Technology" will be published in Summer 2025. Kip Currier, PhD, JD
Showing posts with label potential bias or discrimination. Show all posts
Showing posts with label potential bias or discrimination. Show all posts
Thursday, November 21, 2019
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