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AI Ethics
Trustworthy AI
POLARIS Framework
Practical Guidelines
Software Development Life Cycle
POLARIS: Trustworthy AI Development

The work of Maria Teresa Baldassarre, Domenico Gigante, Marcos Kalinowski, Azzurra Ragone presented in POLARIS: A Framework to Guide the Development of Trustworthy AI Systems addresses the translation of AI ethics principles into concrete development actions. POLARIS emerges as a response to the need for more tangible guidelines for AI professionals.

  • Purpose: To provide a comprehensive framework for the responsible engineering of AI systems.
  • Methodology: Development of POLARIS based on systematic review, survey, and expert interviews.
  • Stakeholders: Offers tools and guidance for various roles within the AI development process.
  • Aim: To leverage AI’s potential in a way that is responsible and beneficial for society.

The significance of this framework is seen in its potential to transform the theoretical constructs of ethical AI into actionable steps for practitioners. By focusing on the practicality of ethical considerations across the SDLC, POLARIS could catalyze the adoption of responsible AI practices in the industry, encouraging further development and enhancement.

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