5281 - Responsible AI

5281 - Responsible AI

Issued by GAIn® - The Global AI network

In order to achieve responsible development and implementation of AI it is important to pay attention to ethical, legal and societal aspects (ELSA). A key part of using biomedical data and derived AI models responsibly, is to know what kind of data and AI models can and can’t be used and for what reason. And even more importantly: to have a framework for a fruitful discussion about the grey areas where you might not want to use certain data or AI models.

Skills

  • BioMedicine
  • Critical Thinking
  • Ethics
  • Legal

Earning Criteria

  • Challenges - Being able to articulate typical ELSA challenges of using AI in the biomedical field.
  • Ethical aspects – Ethical reasoning, ethics by design principles, different aspects of fairness and dealing with their contradictions.
  • Legal aspects - Explaining privacy by design philosophy and how different (European) frameworks help to enforce this.
  • Application - Being able to apply Data Protection Assessment and Fundamental Rights and Algorithms Impact Assessment (FRAIA) frameworks to own data
  • Exam