https://hdl.handle.net/2123/33757 2026-06-04T23:23:57Z 2026-06-04T23:23:57Z Rava, Bradley https://hdl.handle.net/2123/34314 2025-09-18T22:37:46Z 2024-01-01T00:00:00Z

Fairness control for risky artificial intelligence decision making Rava, Bradley When we do not know why algorithms make the decisions they do, this can lead to automatic decisions that are untrustworthy and unfair to minority groups. AI models are really good at giving us accurate decisions with respect to historical data sets with previous decisions. However, when we do not know the reasoning why a model is making its decisions, it is possible to be accurate while also being unfair. The author has developed an algorithm that is guaranteed to make the outputs of any AI decision making model fair, without having to fully know its inner workings. Fairness Adjusted Selective Inference, or FASI for short, can work with any AI model (without knowledge of its complicated inner processes) and select individuals for high-risk decisions with rigorous fairness control over the definitive decisions made across minority groups.

2024-01-01T00:00:00Z Johnson, Sophia Eun Su Lee, Jeannie Szkudlarek, Betina https://hdl.handle.net/2123/34295 2025-09-14T00:23:36Z 2023-01-01T00:00:00Z

Looking for employees with high productivity and low turnover? Hire a refugee Johnson, Sophia; Eun Su Lee, Jeannie; Szkudlarek, Betina Hiring a refugee is a smart business decision. That’s what the employers involved in our research into refugee employment reported. There are of course also very good social reasons for recruiting refugees – including increasing diversity within organisations, expanding cultural awareness, and contributing to achieving UN Sustainable Development Goals 8 and 10 (promoting decent work, economic growth, and reducing inequalities).

2023-01-01T00:00:00Z Randhawa, Krithika https://hdl.handle.net/2123/34294 2025-09-12T03:26:41Z 2023-01-01T00:00:00Z

Taking no for an answer: how can governments keep citizens engaged on digital platforms Keeping citizens engaged on digital platforms even when the government answer is no Randhawa, Krithika Governments increasingly use digital platforms to interact with citizens, co-create services and co-design policies for more sustainable communities and cities. The International Association for Public Participation, whose community engagement framework many national and local governments subscribe to, and the Open Government Partnership, with 76 national members and over 100 local government members, are indicative of growing government efforts to engage with their citizens in a transparent and participatory manner. When designed well, such interaction reduces the distance between government and citizens, strengthens mutual understanding and public trust, and delivers social benefits. Citizen-sourcing can transform how governments engage with citizens, shaping communities for the better.

2023-01-01T00:00:00Z