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.
February 2025
Technological advances have sparked new debates about AI replacing human professionals. Reporting on this often misrepresents AI – what it is, and how people interact with it in real life. Someone recently sent me a New York Times’ Hard Fork podcast episode and asked me […]
February 2025
Cybercrime is booming. We all know it. But while attack vectors are evolving by the minute, our security budgets are barely inching forward. This disconnect is creating a dangerous vulnerability, particularly with the rise of human-manipulation fraud, like AI-enabled deepfake. It is no longer just […]
February 2025
The global conversation around AI has reached a fever pitch, with world leaders, tech executives, and policymakers gathering in Paris to chart the future course of this transformative technology. While these high-level discussions shape the broader conversation around AI’s potential and risks, they represent just […]
February 2025
Over the past few years, I’ve had many conversations with friends and acquaintances spanning a wide range of industries, including the civil service, agencies, consultancies, and the private sector. Throughout these conversations, the topic of AI has come up time and time again, with work […]
January 2025
As AI adoption grows, ensuring AI systems are resilient is critical. This requires building user trust and ensuring the trustworthiness of deployed AI technology. We are now all very much aware that digital systems are vital to our lives and livelihoods. It’s become impossible to […]
January 2025
Artificial intelligence (AI) has the power to transform how organisations operate, but not every problem is suitable for an AI-driven solution. In the first blog of our three-part series, we explored how AI can automate repetitive tasks, support complex decision making and generate insights from […]
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