Universities receive £1.1m for AI accountability project

Universities receive £1.1m for AI accountability project

The Universities of Aberdeen, Oxford and Cambridge have been awarded £1.1 million to develop auditing systems akin to 'black box' flight recorders for artificial intelligence (AI) systems.

The award, from the Engineering and Physical Sciences Research Council (EPSRC), will fund the Realising Accountable Intelligent Systems (RAInS) project, a research collaboration between the three universities.  

Working with the public, the legal profession and technology companies, the project will aim to develop prototype solutions to allow developers to provide secure, tamper-proof records of intelligent systems’ characteristics and behaviours.

These records can be shared with relevant authorities and further analysed in the event of incidents or complaints, ensuring that future AI systems that are transparent and accountable.

Professor Pete Edwards, from the University of Aberdeen, leads the multi-disciplinary team working on the project, along with Professor Rebecca Williams from the University of Oxford and Dr Jat Singh from the University of Cambridge.

Professor Edwards said: “AI technologies are being utilised in more and more scenarios including autonomous vehicles, smart home appliances, public services, retail and manufacturing. But what happens when such systems fail, as in the case of recent high-profile accidents involving autonomous vehicles?

“How can we hold systems and developers to account if they are found to be making biased or unfair decisions?  These are all real and timely challenges, given that AIs will increasingly affect many aspects of everyday life.”

The RAInS project aims to develop solutions that will support auditing of AI systems, ensuring a level of accountability.

Dr Singh said: “Our work will increase the transparency of AI systems not only after the fact, but also in a manner which allows for early interrogation and audit, which in turn may help prevent or mitigate harm.”

Professor Williams added: “From a legal perspective the transparency and accountability of these systems is vital and is inherent in any concept we might have of fairness.  The law can only regulate and control what it can see.

“Ultimately our ambition is to create a means by which the developer of an intelligent system can provide a secure, tamper-proof record of the system's characteristics and behaviours that can be shared - under controlled circumstances - with relevant authorities in the event of an incident or complaint.”

Search News

Browse by Month

2024

  1. Jan
  2. Feb
  3. Mar
  4. Apr There are no items to show for April 2024
  5. May There are no items to show for May 2024
  6. Jun There are no items to show for June 2024
  7. Jul There are no items to show for July 2024
  8. Aug There are no items to show for August 2024
  9. Sep There are no items to show for September 2024
  10. Oct There are no items to show for October 2024
  11. Nov There are no items to show for November 2024
  12. Dec There are no items to show for December 2024

2023

  1. Jan
  2. Feb
  3. Mar
  4. Apr
  5. May
  6. Jun
  7. Jul
  8. Aug
  9. Sep
  10. Oct There are no items to show for October 2023
  11. Nov
  12. Dec

2013

  1. Jan There are no items to show for January 2013
  2. Feb There are no items to show for February 2013
  3. Mar There are no items to show for March 2013
  4. Apr There are no items to show for April 2013
  5. May There are no items to show for May 2013
  6. Jun
  7. Jul
  8. Aug
  9. Sep
  10. Oct
  11. Nov
  12. Dec