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Institute for Ethical AI

Description

The Institute for Ethical AI develops ethical and trustworthy intelligent software solutions for business, organisations and society. Members test, validate and verify AI systems to ensure that they are fit for purpose and members help organisations use and interpret their data wisely and ethically. Simple improvements in data analysis can lead to substantial profit increments. The Institute has a large team of subject specialists who understand the sector and can provide expert advice on how to gain maximum value from data.

Members analyse data sets and systems for bias, interpretability, brittleness and robustness. They carry out risk analysis and classification to understand which restrictions and controls should be applied. They develop bespoke Artificial Intelligence solutions for organisations.

The automation enabled by AI and data analytics has the potential to radically alter the way people work. The Institute works at integrating AI within businesses from both the human and business perspective, understanding how this technology will impact employees and their families and how society might react. This includes research into understanding how these products translate across international boundaries and how people with special characteristics might be adversely affected.

Members of the Institute's team sit on law commission working groups to analyse how the current law can be used to manage internet issues such as cyberhate and to influence and propose changes to those laws.

Offers funding

No, this infrastructure does not provide funding.

Contact details

Oxford Brookes University
Gipsy Lane
Headington
Oxford
OX3 0BP
United Kingdom
Website: https://ethical-ai.ac.uk/
  • @obuEthicalAI

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Categorisation

Type

  • University-based infrastructure
  • Institute

Project Tags

  • Art tag
  • Artificial intelligence tag
  • Ethics tag
  • Information studies tag
  • Law tag
  • Philosophy tag
  • Technology tag

University affiliation(s)

Oxford Brookes University
Oxford

Last modified:

2025-03-28 11:11:31

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