My last post here, the descriptively-titled “Big Data’s Biggest Challenge? Convincing People NOT to Trust Their Judgment,” generated a fair amount of commentary. So I think it’s worthwhile to devote a couple follow-on posts to the reactions, questions, and objections raised in response to my contention, which was (and is) that we should generally be relying a lot less on the judgments, diagnoses, and forecasts of human ‘experts,’ and a lot more on the outputs of cold, hard, data-driven algorithms.
When Human Judgment Works Well, and When it Doesn’t
Expert intuition excels in predictable environments where good feedback is available.
January 06, 2014
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Accelerate your career with Harvard ManageMentor®. HBR Learning’s online leadership training helps you hone your skills with courses like Decision Making. Earn badges to share on LinkedIn and your resume. Access more than 40 courses trusted by Fortune 500 companies.
Practical ways to improve your decision-making process.