Summary of Beyond Algorithmic Fairness: a Guide to Develop and Deploy Ethical Ai-enabled Decision-support Tools, by Rosemarie Santa Gonzalez et al.
Beyond Algorithmic Fairness: A Guide to Develop and Deploy Ethical AI-Enabled Decision-Support Tools
by Rosemarie Santa Gonzalez, Ryan Piansky, Sue M Bae, Justin Biddle, Daniel Molzahn
First submitted to arxiv on: 17 Sep 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computers and Society (cs.CY); Machine Learning (cs.LG)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| 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 intersection of artificial intelligence (AI) and optimization holds significant promise for enhancing the efficiency, reliability, and resilience of engineered systems. However, deploying AI-enabled optimization methodologies in networked systems poses unique challenges that require tailored ethical guidelines. This paper highlights the need to go beyond fairness-driven algorithms and systematically address ethical decisions throughout the modeling, data curation, results analysis, and implementation stages. Case studies in power systems, supply chain management, and logistics demonstrate the importance of considering ethical implications at every step of the decision-making process. The authors encourage researchers to foster reflection and awareness about the ethical considerations required when deploying AI-enabled optimization algorithms. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about using artificial intelligence (AI) to make better decisions in complex systems, like power grids or supply chains. Right now, there’s no clear way to ensure that these systems are fair and safe. The authors want to change this by providing guidelines for researchers who develop AI algorithms. They show how AI can be used to improve decision-making in different areas, but they also highlight the need to consider the ethical implications of using AI in these systems. |
Keywords
* Artificial intelligence * Optimization
