Professor of Computer Science at Princeton
Arvind Narayanan is an author associated with Stanford CIS.
How media typically covers Arvind Narayanan
Based on 9 scored articles
Arvind Narayanan as author
Moravec's paradox, the widely repeated claim that tasks hard for humans are easy for AI and vice versa, has never been empirically tested and lacks predictive power about which AI problems are actually easy or hard to solve.
“Author of "Fact Checking Moravec's Paradox" in Normal Tech”
AI should be understood as normal technology with unpredictable societal effects rather than a special case, requiring adaptive policymaking and resilience frameworks instead of deterministic predictions.
“Co-author of the article and the 'AI as Normal Technology' essay”
Referenced in coverage
“Signed a public letter on AI safety and embedded evaluations.”
“Co-author of research on AI agents' inability to produce publication-quality AI research.”
“Narayanan advanced the hypothesis that many real-world cognitive tasks have irreducible error and human performance is near those limits, limiting AI's ability to exceed human performance.”
“Princeton researcher analyzing AI labs' value capture strategies and their move up the stack to escape commodity trap.”
“Co-author articulating a vision of AI as normal technology, arguing against utopian and dystopian views and emphasizing human control and institutional frameworks.”
“Co-authored essay arguing that AI-washing narratives about job displacement in software engineering are exaggerated and based on flawed assumptions.”
“Arvind Narayanan is a co-author of CORE-Bench and HAL agent evaluation frameworks.”