Summary of Ethical and Scalable Automation: a Governance and Compliance Framework For Business Applications, by Haocheng Lin
Ethical and Scalable Automation: A Governance and Compliance Framework for Business Applications
by Haocheng Lin
First submitted to arxiv on: 25 Sep 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: 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 The paper introduces a framework for ensuring AI applications are ethical, controllable, viable, and desirable. The framework balances competing factors like performance vs. explainability to provide practical advice for businesses meeting regulatory requirements in sectors like finance and healthcare. Case studies validate the framework’s effectiveness in integrating AI in academic and practical environments. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper provides a framework for applying AI in businesses while ensuring ethical principles, governance, and legal compliance are met. The framework balances performance and explainability to provide practical advice for companies meeting regulatory requirements. |
