🛡️MIT AI Risk Repository — Understanding AI Risks

AI is powerful — but we must use it responsibly

MIT researchers catalogued 700+ risks associated with artificial intelligence — from bias to misuse to societal impact.

This isn’t fear-mongering. It’s responsible innovation.

Explore:

• Real examples of AI failure modes
• Social and ethical risks
• Safety, bias, and fairness challenges
• Frameworks for safer deployment

📖 Deep resource: AI Risk — MIT

Why we’re sharing this

We believe AI should empower people — not overwhelm or harm them.

By understanding risks, we can build safer tools and help users make informed decisions.

How we frame it

“HoloNeos is designed with simplicity — and responsibility — in mind.

Learning AI risks helps you get the most from AI safely and ethically.”