Harvard professor explains the biggest misconception about failure and how to 'fail well'
By
Aditi Shrikant
Summary
Harvard Business School professor Amy Edmondson discusses the common misconception about failure, arguing that not all failure is bad. She distinguishes between preventable failures, complex failures (inherent in uncertain work), and intelligent failures (thoughtful experiments that yield valuable insights). The key is learning to "fail well" by embracing intelligent failures that advance knowledge and innovation, rather than fearing all failure.
Source
bskyHarvard professor explains the biggest misconception about failure and how to 'fail well'cnb.cxKey quotes
· 3 pulledIt's gonna sound weird, but success for me was failing. It was falling seven times. It was making mistakes. That way, I could go back in the gym and be like, 'Okay, what did I do wrong?'
The biggest misconception about failing is that all failure is bad. That's just not true.
We need to learn to distinguish between different types of failure — and embrace the ones that help us grow.
You might also wanna read
Research on AI Failure Modes: How Misalignment Scales with Model Intelligence and Task Complexity
This research paper examines how AI system failures scale with model intelligence and task complexity, exploring whether failures manifest a
Confident Inaccuracy, Not Hallucination, Is the Key Barrier to AI Progress
The article argues that the main obstacle to AI progress (particularly AGI) is not raw intelligence or psychedelic hallucinations, but "conf
promptql.io·10mo ago
Persistent Software Failures: Why Organizations Don't Learn from Past Mistakes
The article examines the persistent problem of software failures despite decades of experience and increasing IT budgets. Drawing parallels
spectrum.ieee.org·7mo ago
Why enterprise knowledge systems have failed for 60 years and what AI might change
The article discusses why enterprise knowledge systems have failed for over sixty years, based on the author's experience demoing an AI syst
felixbarbalet.com·2mo ago
Human Fallibility and Safety in Complex Healthcare Systems: Learning from Other Industries
The article discusses how complex systems, particularly in healthcare and radiology management, are inherently unsafe due to human fallibili
healthmanagement.org·2mo ago
Why Artificial Intelligence Deserves More Attention Despite Its Checkered Past
The author reflects on a lunch conversation where they identified artificial intelligence as the most important yet overlooked tech trend. T
blog.samaltman.com·3mo ago
Comments
Sign in to join the conversation.
No comments yet. Be the first.