The Synthetic Trap: Ethics, Bias, and the Future of Automated Discovery
Synthetic users can accelerate discovery—but used blindly, they create dangerous illusions. This article explores the ethical risks, hidden biases, and privacy pitfalls of AI-driven research, and explains why the future Product Manager must shift from data gatherer to orchestrator—using simulation to move faster without losing human judgment.