Have you ever heard of “algorithm aversion?” Researchers describe it as being when people trust their own conclusions over the results of an algorithm, even when the algorithm is shown to perform better. You see this in action when doctors scoff at online symptom checkers or lawyers hesitate to use predictive coding. So, what drives this aversion? A few theories on why machine intelligence is off-putting to many:
Confirmation Bias
This content has been archived. It is available through our partners, LexisNexis® and Bloomberg Law.
To view this content, please continue to their sites.
Not a Lexis Subscriber?
Subscribe Now
Not a Bloomberg Law Subscriber?
Subscribe Now
LexisNexis® and Bloomberg Law are third party online distributors of the broad collection of current and archived versions of ALM's legal news publications. LexisNexis® and Bloomberg Law customers are able to access and use ALM's content, including content from the National Law Journal, The American Lawyer, Legaltech News, The New York Law Journal, and Corporate Counsel, as well as other sources of legal information.
For questions call 1-877-256-2472 or contact us at [email protected]
