Ethics of AI in Finance
Artificial Intelligence (AI) is rapidly transforming the financial reporting and auditing environment, with three-quarters of Australian companies using or piloting AI in their systems.
Join us for a webinar with experts from KPMG – Nicola Stone, Audit Technology Director, and Francine Hoo, Director – Tech Integration (Data and AI) – who will explore the challenges with privacy, regulations, and ethicality of AI usage in the financial sector.
Nicola and Francine will share the operationalization wins and challenges with the implementation of AI governance of assurance.
Participants may be able to apply for 1 hour towards meeting their annual continuing professional development obligations. It is the individual's obligation to determine the relevance of CPD to their license conditions. Please see our terms and conditions and privacy policy.
Nicola Stone
Nicola is a Director at KPMG, with a focus on transforming our audit delivery through the use of data analytics, AI and automated technology solutions.
She has developed custom audit solutions for some of Australia’s most significant organisations and is the technology lead across KPMG’s audit client portfolio. She worked as a solutions SME in the Product Development team within the KPMG Global Solutions Group, building the data analytics capabilities of KPMG’s smart audit platform, KPMG Clara. With the emergence of AI, she is the technology lead for the deployment of AI powered solutions and their use on audits, sitting on both the AI and Software Audit Tool Governance Committees for Audit and Assurance, and also on firmwide bodies focusing on innovation with and responsible use of AI.
Before joining KPMG, Nicola was a Researcher in the Complexity Science team at a national UK research centre, developing machine learning algorithms to identify complex behaviour in space weather data.
Francine Hoo
Francine is a Director with KPMG's Data team focusing on building trusted data (including AI) practices.
She has helped build, assure and audit multiple frameworks including AI assurance, data governance, data management, data analytics practices, privacy, risk and compliance. Having started in audit, she leverages her combined experience to help build evidenced based, human centric, ethical and trustworthy data practices.
She's helped teams build AI Assurance frameworks and contributed to industry thought leadership to ensure safer and reliable deployment of AI based outcomes. She passionately believes that humans are accountable for the right use of data and therefore the sufficient and appropriate risk management of data operations in all its forms – including AI and automation. The future of data driven outcomes including AI is dependent and strengthened by the partnership of a diversity of thinking, where humans collaborate with tech.
Her experience includes government, financial services, energy, mining, retail and online platforms
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