AI Governance: Foundation Workshop

Description

What You’ll Learn in the AI Governance Foundation Workshop:

• What is AI Governance?
  Gain an understanding of AI Governance fundamentals and their importance in responsible AI deployment.
• Navigating the Regulatory Landscape
  Learn about emerging AI and existing regulations – what are the compliance requirements for AI?
• International and National AI Standards and Guidance
  Learn about relevant standards, their practical applications, and best practices for achieving benchmarks.
• Building an Effective AI Governance Structure
  Discover how to implement AI Governance in your organisation, identify the key roles, and establish a sustainable framework.
• Integrating AI Strategy and Policy into Risk Management
  Understand what an AI Strategic Plan entails, how to develop and implement an AI Policy, and ways to integrate these elements into your Risk Management framework.

Workshop Details

Thursday, 16 January 2025, 10am – 12noon AEDT

Facilitated by: Dr Susan Bennett

CPD Units: 2

Cost: $550 + 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.