🧠 Combating confirmation bias in this space requires:
• Equipping users with critical AI literacy
• Establishing strong oversight, regulation, and auditing
🧠 Combating confirmation bias in this space requires:
• Equipping users with critical AI literacy
• Establishing strong oversight, regulation, and auditing
🔍 Public black-box testing
🧑⚕️ Reporting tools for physicians to flag GenAI-influenced patient behavior
📋 Regulatory oversight for general-purpose GenAI used in medical contexts
🔍 Public black-box testing
🧑⚕️ Reporting tools for physicians to flag GenAI-influenced patient behavior
📋 Regulatory oversight for general-purpose GenAI used in medical contexts
✅ Boosting digital/AI literacy
✅ Training people to test multiple query framings
✅ Promoting “consider-the-opposite” thinking
✅ Designing GenAI apps to flag evidence-based but disconfirming info
✅ Boosting digital/AI literacy
✅ Training people to test multiple query framings
✅ Promoting “consider-the-opposite” thinking
✅ Designing GenAI apps to flag evidence-based but disconfirming info
1️⃣ How users phrase queries
2️⃣ Preference for belief-consistent answers
3️⃣ Resistance to belief-inconsistent info
1️⃣ How users phrase queries
2️⃣ Preference for belief-consistent answers
3️⃣ Resistance to belief-inconsistent info
While GenAI offers easy access to personalized health information, that personalization can backfire, subtly reinforcing people’s pre-existing beliefs, even when they’re false or harmful
While GenAI offers easy access to personalized health information, that personalization can backfire, subtly reinforcing people’s pre-existing beliefs, even when they’re false or harmful
@mpib-berlin.bsky.social @arc-mpib.bsky.social @unipotsdam.bsky.social @bristoluni.bsky.social