Towards the Development of Artificial Intelligence-based Systems: Human-Centered Functional Requirements and Open Problems
The goal of this article is to concisely present and discuss key human-centered functional requirement specifications of emerging AI-based systems. Added to this, some emerging toolkits and open libraries for developing and evaluating AI-based systems are also discussed.
What do you need to know before reading
- For who: Data Scientists
- Which phase: Building and Testing
- Ethical principles (HLEG/Morley): Beneficience, Justice, non-maleficence, Autonomy, Explicability .Human Agency, Technical Robustness, Privacy and data governance, Transparency, Diversity, Societal and environmental well-being, Accountability (Hleg)
- Type Machine Learning: NA
- Type Explainability: NA
Method
This workflow proposes a qualitative approach by exploring several existing works on transparency, explainability, fairness, trustworthiness and ethics of AI from a human-centric dimension.
Result
By introducing this workflow you will ensure human-centered AI-based systems development in connection with ethics, interpretability, explainability, transparency, and fairness
Links
Fabgola T. M.; Thakur S. C.- Towards the Development of Artificial Intelligence-based Systems: Human-Centered Functional Requirements and Open Problems. ICIIBMS. 2019
https://tinyurl.com/y5y7e5pnReturn to the Introduction