Published in AI

EC drafts ethics rules for developing AI

by on09 April 2019


Sorry Dave, I can’t do that.

The European Commission has launched a pilot project intended to test draft ethical rules for developing and applying AI technologies to ensure they can be implemented in practice.

It's aiming to get feedback and encourage international consensus building for what it dubs "human-centric AI" -- targeting among other talking shops the forthcoming G7 and G20 meetings for increasing discussion on the topic.

The Commission's High-Level Group on AI -- a body comprised of 52 experts from across industry, academia and civic society announced last summer -- published their draft ethics guidelines for trustworthy AI in December.

A revised version of the document was submitted to the Commission in March. It's boiled the expert consultancy down to a set of seven "key requirements" for trustworthy AI, i.e. in addition to machine learning technologies needing to respect existing laws and regulations:

  • Human agency and oversight: "AI systems should enable equitable societies by supporting human agency and fundamental rights, and not decrease, limit or misguide human autonomy."
  • Robustness and safety: "Trustworthy AI requires algorithms to be secure, reliable and robust enough to deal with errors or inconsistencies during all life cycle phases of AI systems."
  • Privacy and data governance: "Citizens should have full control over their data, while data concerning them will not be used to harm or discriminate against them."
  • Transparency: "The traceability of AI systems should be ensured."
  • Diversity, non-discrimination and fairness: "AI systems should consider the whole range of human abilities, skills and requirements, and ensure accessibility."
  • Societal and environmental well-being: "AI systems should be used to enhance positive social change and enhance sustainability and ecological responsibility."
  • Accountability: "Mechanisms should be put in place to ensure responsibility and accountability for AI systems and their outcomes."
Last modified on 09 April 2019
Rate this item
(0 votes)

Read more about: