Prof. Dr. Joanna Bryson | No one should trust AI | Rise of AI Conference 2023

Uncover why Prof. Dr. Joanna Bryson urges caution in trusting AI. Explore key elements for trustworthy AI systems and EU regulations promoting ethical AI.

Key takeaways
  • Trust is a relationship between peers where we realize we’re interdependent and have shared goals.

  • Transparency is the level of information sharing necessary for accountability.

  • Accountability is the ability to trace responsibility for actions and decisions.

  • Responsibility is the fundamental requirement for trust, as it ensures that someone can be held accountable for their actions.

  • Due diligence is the process of investigating and documenting the risks associated with a particular action or decision.

  • AI regulation should focus on ensuring that AI systems are transparent, accountable, and responsible.

  • The AI Act is a proposed EU regulation that would impose a number of requirements on AI systems, including transparency, accountability, and risk assessment.

  • The DMA, DSA, and GDPR are existing EU regulations that already impose some requirements on AI systems.

  • AI systems should be designed to respect human rights and fundamental freedoms.

  • **AI systems should be designed to be fair and unbiased.