I don’t want to convince anyone of something they don’t see themselves – that’s pointless.
But I do believe it’s valuable to have an informed opinion. And for that, we need access to alternative perspectives, especially when marketing hype dominates the narrative.
Here are key voices from leading AI researchers who critically examine the label “Artificial Intelligence” and the risks it implies:
🧠 Emily M. Bender: “Stochastic Parrots” – Language Models Without Understanding
Emily Bender coined the term “Stochastic Parrots” to describe how models like ChatGPT generate statistically plausible text without any real understanding.
👉 ai.northeastern.edu
👉 The Student Life
⚖️ Timnit Gebru: Structural Change for Ethical AI
Timnit Gebru emphasizes the need for systemic reform to enable ethical AI development.
👉 WIRED
🛑 Gary Marcus: Regulation Against AI Hype
Gary Marcus calls for strong governmental oversight to prevent harm from unregulated AI systems.
👉 Time
🔍 Meredith Whittaker: AI as a Product of Surveillance Capitalism
Meredith Whittaker sees AI as rooted in systemic data exploitation and power concentration.
👉 Financial Times
⚖️ Sandra Wachter: Right to Explainability and Transparency
Sandra Wachter calls for legal frameworks to ensure algorithmic accountability and fairness.
👉 Oxford Internet Institute