In the ever-expanding landscape of Artificial Intelligence (AI) ensuring that AI systems are designed and developed responsibly throughout their entire lifecycle is crucial.
To this end, several AI ethics principles and guidelines have been issued to which AI systems should conform. Nevertheless, relying solely on high-level AI ethics principles is far from sufficient to ensure the responsible engineering of AI systems. In this field, AI professionals often navigate by sight. Indeed, while recommendations promoting Trustworthy AI (TAI) exist, they are often high-level statements difficult to translate into concrete implementation strategies. To address this challenge, in this talk, I will present a novel holistic framework for Trustworthy AI: POLARIS, designed to bridge the gap between theory and practice.
The framework builds up from the results of a systematic review of the state of the practice as well as a survey and think-aloud interviews with AI practitioners. The framework is designed to provide actionable guidelines and tools to support different types of stakeholders throughout the entire Software Development Life Cycle (SDLC).
Join at: imt.lu/aula1