AI accuracy concerns are often misunderstood.
The MIT Technology Review article “What we’ve been getting wrong about AI’s truth crisis” challenges common assumptions about how and why AI produces incorrect or misleading outputs. It highlights where risks actually originate and why clarity matters when evaluating AI systems.
Read the article to gain a clearer view of AI reliability and what it means for real-world use.
