The explosion of data being generated, curated, and shared within organisations in recent years has brought with it unprecedented risks. As consumers and regulators alike are becoming more concerned with the misuse of data, the question of ethics and inherent societal bias in data has been thrust into public consciousness. High-profile data breaches have proliferated over the past few years, so it is crucial that organisations create ethical data practices in order to avoid the astronomical consequences of a breach, not just from a financial point of view, but also from a reputational perspective.

This panel discussed how to navigate the complexities of data ethics in order to foster a trust-based, transparent approach to data and analytics.

• What are the key risks that organisations need to be aware of regarding the ethics of data and AI?
• What metrics/procedures can be put in place to ensure that you can both understand and mitigate your risks?
• How can you ensure that customers have a transparent view of how their data is being used?
• How can you navigate the risk of unconscious societal biases?

Speakers on the panel:

• Sudip Trivedi, Head of Data and Analytics, London Borough of Camden
• Mahesh Bharadhwaj, Head of Europe Analytics, Funding Circle
• Dan Gilbert, Director of Data, News UK
• Nina Monckton, Head of Data Strategy, Advanced Analytics and Data Science, AXA Health
• Moderated by Robin Sutara, CDO, Microsoft