Fairness in AI Software Engineering: A Gray Literature Analysis
Analysis
This ArXiv paper provides a valuable exploration of fairness considerations within AI-enabled software engineering, drawing on gray literature to offer a comprehensive perspective. The study's focus on fairness is crucial, given the potential for biased outcomes in AI systems.
Key Takeaways
- •Focuses on fairness in AI software development.
- •Utilizes gray literature to analyze relevant issues.
- •Highlights the importance of addressing bias.
Reference
“The study investigates fairness requirements in AI-enabled software engineering.”