Overview

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

Overview

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/y5y7e5pn

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