AI's Data Dilemma: What Gets Lost When Researchers Share Data
Better AI decisions could save you money on everything from ads to healthcare.
Deep Dive
arXivLabs is a framework where collaborators can develop and share new arXiv features directly on the website. Individuals and organizations that work with arXivLabs have embraced and accepted values of openness, community, excellence, and user data privacy — and arXiv says it is committed to those values and only works with partners who adhere to them. If you have an idea for a project that would add value for arXiv's community, arXiv invites you to learn more about arXivLabs.
Key Points
- Off-policy evaluation lets companies test AI decision-making without risking real users, like a flight simulator for AI.
- The paper says shared data must include context, actions, and outcomes to make evaluations accurate.
- If data is incomplete, AI tests can be wrong, leading to worse ads, recommendations, or healthcare for you.
Why It Matters
Better data sharing means AI makes smarter choices, saving you money and improving services.