Third-party cyber evaluations involving OpenAI models
openai.com·13h ago
AI Research
arXiv CS.AI·Jun 10·5 min read
Designed by Journalists, but Is It for Readers? Rethinking AI Disclosures and Transparency in News
TL;DR
The lack of transparency in AI systems used in news reporting can mislead readers about the information's origin and reliability. A framework for improving AI disclosures in journalism was developed, focusing on clarity and accessibility for readers.
✦ Why It Matters
Engineers and researchers can develop tools that enhance transparency in AI applications, improving user trust and engagement.
Key Takeaways
- Explore user-centered designs for AI disclosures in news.
- Avoid overwhelming readers with excessive detail in disclosures.
- Implement visualizations to clarify AI involvement.
- Engage readers in the design process for better transparency.
How It Works
The study identified that detailed disclosures can create a false sense of transparency, leading readers to overlook important information. In contrast, one-line disclosures simplify the message but may leave readers seeking more context.
The proposed user-centered designs focus on enhancing reader agency, allowing them to access information about AI involvement as needed.