On June 21st 2018, the KAIST Institute for Artificial Intelligence, Fourth Industrial Revolution Center in Korea hosted a public forum discussion on “Taming Artificial Intelligence: Engineering, Ethics, and Policy to discuss the ethics of artificial intelligence technology development as well as policy making around the world.
On 16th April the House of Select Committee on Artificial Intelligence published a report called ‘AI in the UK: ready, willing and able?”. The report is based on an inquiry by the House of Lords conducted to consider the economic, ethical and social implications of advances in artificial intelligence. UnBias team member Ansgar Koene submitted written evidence based on the combined work of the UnBias investigations and our involvement with the development of the IEEE P7003 Standard for Algorithmic Bias Considerations.
On March 5th and 6th UnBias had the pleasure of participating in a workshop that was organized to signal the launch of the European Commission’s Joint Research Center’s HUMAINT (HUman behaviour and MAchine INTelligence ) project.
The HUMAINT project is a multidisciplinary research project that aims to understand the potential impact of machine intelligence on human behaviour. A particular focus of the project lies on human cognitive capabilities and decision making. The project recognizes that machine intelligence may provide cognitive help to people, but that algorithms can also affect personal decision making and raise privacy issues.
On September 14th the US ACM organized a panel on Algorithmic Transparency and Accountability in Washington DC to discuss the importance of the Statement on Algorithmic Transparency and Accountability and opportunities for cooperation between academia, government and industry around these principles. Also part of this panel was Ansgar, representing the IEEE Global Initiative on Ethical Considerations for Artificial Intelligence and Autonomous Systems, its P7000 series of Standards activities, and UnBias.
Just two days earlier, on September 12th, the IEEE news source The Institute published a blog article “Keeping Bias From Creeping Into Code“, based on an interview with Ansgar about the P7003 Standard for Algorithmic Bias Considerations.