AI Governance Workshop

Description

In this workshop tailored to meet your organisation’s needs, attendees will provide you with a systematic approach to AI Governance in support of overarching business goals and objectives. It will help you to understand the foundations for a robust AI Governance framework to guide AI projects minimising privacy and other risks through governance and project design tools.

In the AI Governance Workshop, we will cover:

• What is AI Governance
• The key components of effective AI Governance
• Selecting the AI framework or model that is best suited to meet your organisation’s needs
• How to create an effective AI project design
• How to identify and assess potential harms and mitigate risks
• How to embed privacy-by-design into AI Governance and AI projects
• How to build collaboration across silos to deliver on organisational objectives

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Workshop Details

Facilitated by: Susan Bennett

CPD Units: 3

Enquiries: infogovanz@infogovanz.com

 

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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.