In recent years, the capabilities of AI have advanced significantly, particularly with the advent of generative AI, which can create images, text, and music. These systems can also respond to queries by drawing on general knowledge or analysing specific documents. Despite these advancements, the reliability of AI has not kept pace. AI systems often produce errors such as fabricating facts, generating flawed images, causing vehicle accidents, and making simple mathematical mistakes, which can negatively impact stakeholders. In his presentation, Colin explores strategies to enhance the trustworthiness of AI systems. He also examines the intriguing aspects of behavioural science that explain how and when humans come to trust AI technologies.
Join Colin Priest as he shares his insights on this important topic.
Colin is a seasoned business leader with more than 30 years of experience across various industries, including finance, healthcare, security, oil and gas, government, telecommunications, and marketing. With a focus on data science initiatives, he has held several CEO and general management roles, while also serving as a business consultant, data scientist, thought leader, behavioural scientist, and educator.
Colin's passion for exploring the synergy between humans and AI has led him to contribute to projects on AI ethics, governance, and the future of work. He has gained global recognition from the World Economic Forum and Singapore government for his work on AI governance and ethics. Additionally, Colin is a passionate healthcare advocate who does pro-bono work for cancer research.
Colin has a Bachelor of Economics (Actuarial Studies) and Master of Applied Statistics from Macquarie University.
