Machine learning models increasingly make high-stakes decisions affecting people’s lives—determining who gets hired, who receives loans, who qualifies for parole, and who gets access to healthcare. Yet these systems can perpetuate and amplify societal biases, systematically disadvantaging certain groups whilst privileging others. The consequences are serious. Biased hiring algorithms exclude qualified candidates based on protected…
In an era where artificial intelligence increasingly influences critical decisions in hiring, lending, criminal justice, and healthcare, having a reliable AI bias detection tool has become paramount. Enter Aequitas, a powerful open-source Python toolkit designed specifically as an AI bias detection tool to help data scientists, developers, and auditors identify and mitigate bias in AI…
The integration of Artificial Intelligence into academia promises unprecedented efficiency, but it also introduces critical ethical challenges. For researchers and institutions, it’s no longer enough to simply use AI; we must use it responsibly and ethically. Operationalising ethical AI in research means moving past abstract discussions and applying tangible tools and processes to identify, mitigate,…