Look behind the curtain: Don't be dazzled by claims of 'artificial intelligence' | Op-Ed
ai-criticismai-hypeai-ethicsmediagpt-3
Abstraction: Emily Bender op-ed demystifying AI as probabilistic pattern matching
Key points:
- What's called "AI" is pattern recognition systems that probabilistically reproduce training-data patterns; they cannot perform genuinely impossible tasks (e.g., inferring criminality from photos or mental health from voice)
- Systems can produce plausible-seeming outputs via spurious correlations, giving false impressions of correctness—especially when operators believe they are accurate
- GPT-3 (OpenAI) is described as a "show-pony" that predicts next words; apparent intelligence is a reader's cognitive projection, not a property of the system
- Puff-piece journalism lends credibility to harmful applications that classify people (criminal risk, mental health) and allow operators to claim false objectivity
- Bender calls for journalism asking: what harms are reproduced from training data, who benefits from automating decisions, and how does AI concentrate power
Connections: Emily Bender · Openai · GPT-3 · AI Hype · Large Language Models · AI Ethics