Summary of Responsible Artificial Intelligence: a Structured Literature Review, by Sabrina Goellner et al.
Responsible Artificial Intelligence: A Structured Literature Review
by Sabrina Goellner, Marina Tropmann-Frick, Bostjan Brumen
First submitted to arxiv on: 11 Mar 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computers and Society (cs.CY); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This research aims to advance the concept of responsible artificial intelligence (AI), a topic of increasing importance in EU policy discussions. The paper proposes a unified definition of responsible AI, which is crucial for developing frameworks that guide companies in AI development and ensure compliance with regulations. The authors identify focal areas for future attention, advocating for a human-centric approach to Responsible AI that emphasizes ethics, model explainability, privacy, security, and trust. They conduct a structured literature review to elucidate the current understanding of responsible AI and propose an approach for developing a future framework centered around this concept. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Responsible artificial intelligence (AI) is like having a super smart friend who can help us with lots of things. But we need to make sure that AI doesn’t become too powerful or used in bad ways. The European Union thinks this is very important and has started talking about how to regulate AI. This means making rules for companies that create AI, so they know what’s allowed and what’s not. Our researchers are trying to help by defining what responsible AI looks like and proposing a framework for companies to follow. |
Keywords
* Artificial intelligence * Attention
