AI Governance: Implementing and Governing AI

Description

What you’ll learn in the Implementing and Governing AI Workshop:

• Designing Effective AI Projects
  Learn how to structure AI projects that meet governance standards and align with business objectives from the start, laying the groundwork for responsible AI use.
• Identifying and Mitigating Potential Harms
  Discover methods for identifying risks, assessing potential harms, and implementing strategies to reduce and manage risks in AI systems.
• Embedding Privacy-by-Design into AI Initiatives
  Understand how to apply privacy-by-design principles within your AI Governance framework to ensure privacy considerations are integral to your AI initiatives.
• Fostering Cross-Functional Collaboration
  Gain insights into building collaboration across teams and areas for effective AI Governance and drive organisational success.
• Ensuring Transparency and Auditing
  Explore the regulatory and best practice requirements for AI transparency, oversight, and auditing, and learn strategies to ensure that your AI systems meet high standards of accountability and trustworthiness.

Workshop Details

Wednesday, 25 June 2025, 10am – 1pm AEST

Facilitated by: Dr Susan Bennett

CPD Units: 3

Cost: $650 + GST for the first attendee (25% discount for members).
An additional 10% discount applies to each additional attendee from the same organisation.

Location: Virtual details provided the day before the workshop.

Please Note: This event is designed exclusively for in-house participants (non-vendors) to foster an open and collaborative learning environment.

Refunds: You may request to cancel your booking for a full refund up to 7 days before the event. For cancellations within 7 days of the event, no refund will be given.

Enquiries: infogovanz@infogovanz.com

Workshop Facilitator

Dr Susan Bennett
PhD, LLM(Hons), MBA, FGIA, FIP, CIPP/E, CIPT

Susan Bennett is Principal of Sibenco Legal & Advisory and Founder and Executive Director of Information Governance ANZ. Susan’s focus is driving best practice holistic governance solutions aligning data, information, privacy and records with technology and regulatory compliance to achieve organisational goals.  She completed her Doctor of Philosophy at the University of Sydney on ‘Privacy and Data Protection: the interaction of meta-regulation and information governance’. Susan’s research and findings provide a practical governance solution to assist organisations in achieving data and privacy meta-regulatory requirements, while pursuing strategic organisational objectives.

With thirty years of experience as a lawyer and advisor, Susan helps organisations grappling with the risks and challenges of regulatory compliance arising from using technology (including AI) with growing volumes of data and, particularly, personal data.   Susan delivers practical and responsive solutions to assist organisations across the following interconnected areas:

• Corporate Governance in the AI and Information Age: Integrated risk management and governance frameworks, policies and procedures to improve information flows to the Board to achieve organisational objectives to reduce the risks arising from the use of new data-driven technologies, including AI, and evolving regulatory requirements, such as privacy, AI and ESG.  Access Susan’s submissions to the Senate Select Committee inquiry on the adoption of AI in Australia here.
• Information and Technology (AI) Governance:  Developing and aligning best practice policies and processes into the overarching risk management framework to achieve improved regulatory compliance to improve risk management and reducing risks while enabling the strategic benefits of data-driven technologies to be maximised.
• Data and Information Lifecycle Management: Improving data lifecycle management through policy, people and technology alignment of data collection, management, record retention and, importantly, disposal of data that is no longer required to be retained.  This requires robust information governance led from the board down, the alignment of policies and processes across the organisational silos for effective information lifecycle management. improved data quality for decision-making throughout the organisation and up to and including risk and audit committees and the Board.
• Privacy and PIA/DPIA: Policies and procedures to comply with privacy requirements, privacy impact assessments, including ethical AI (PIA/DPIAs), privacy-by-design, critical incident planning and data breach response.