Bias is inherent. Unfortunately, human biases can unknowingly (or otherwise) creep into data collection and algorithm design in AI. It’s crucial for Leaders to proactively identify and mitigate these biases to ensure AI remains fair and ethical. This may involve techniques like using diverse datasets or employing fairness metrics during model development.
This includes assembling a diverse team of developers and ensuring fairness considerations are embedded within every stage of AI creation and deployment. In this topic, we explore ways to identify and address bias in data and algorithms to ensure fair and responsible AI. Leaders operating within clear ethical guidelines foster a sustainable AI environment, one that is conducive to ongoing innovation and responsible deployment of this powerful technology.
A talk by Dr Kevin Macnish And Nick Wild
A talk by Daniel Gale Digital Equity Manager, GRCC
A talk by Christina Tueje, Alice Wallbank, Tejal Shah & Marcia Hilton
October 2025
When developing complex Artificial Intelligence systems, the decision-making processes can often become opaque and turn into “black boxes,” even for the engineers and data scientists who build them. As a result, it can be difficult to understand why a model has made a particular decision, […]
September 2025
In high-stakes environments like justice, technology must go beyond basic functionality to earn trust and serve the public good through transparency and fairness. As Artificial Intelligence (AI) becomes embedded in justice services, the conversation must start with AI transparency, ethics and the accuracy of output. […]
September 2025
The UK Ministry of Justice has confirmed new Artificial Intelligence (AI) plans, making it clear that AI is no longer a speculative concept in the justice sector. Soon, it will be a practical force helping to identify prisoners at high risk of violence. While public […]
September 2025
In a time of rising inflation, growing consumer debt, and increasing financial vulnerability, the UK financial sector is undergoing a quiet but profound transformation. We worked alongside FinTech Scotland and the University of Glasgow to create a whitepaper called ‘Consumers at the heart of innovation: Financial health evaluation in […]
September 2025
Mark Zuckerberg’s well-known approach to innovation at Facebook was encapsulated in his phrase “Move fast and break things.” In a 2009 Business Insider interview, he stated, “Unless you are breaking stuff, you are not moving fast enough” – a philosophy that has gone on to influence the […]
September 2025
I’ve worked with technology for over three decades, writing countless lines of code in various languages for diverse systems. Some projects were slow, painstaking endeavours for mission-critical situations. However, most were developed rapidly to test ideas, gather user feedback, or simply deliver new features. Because […]
No upcoming events