Study Proves Limits to Stable AI, Underscoring Need for Careful Testing
• Researchers mathematically prove it's impossible to develop always-stable AI algorithms beyond simple problems, highlighting need for thorough testing.
• Discovery demonstrates inherent differences between machine and human intelligence.
• Algorithms can get confused by small changes in input that humans easily ignore.
• Research develops language for discussing weaknesses in machine learning algorithms.
• Important to remember machines don't possess human intelligence despite successes.