AI in ESG: Innovation with Sustainability and Compliance Workshop

Description

In this workshop, you’ll learn about:

• The Role of Technology in ESG Compliance and Reporting
  Explore how technology and AI can support ESG data collection, reporting, and compliance in environmental impact, governance, and social responsibility areas.
• Mitigating AI-Related Risks in ESG
  Understand potential risks with AI use in ESG, including data bias, transparency, and ethical considerations. Learn best practices for building trustworthy and responsible AI applications.
• Measuring Carbon Footprints in AI-Driven Projects
  Examine the environmental impact of AI, with a focus on the carbon footprint of significant AI data-driven projects. Learn strategies for measuring, managing, and reducing carbon costs in alignment with ESG goals.
• Emerging Trends in AI and ESG
  Look ahead to future innovations in AI for ESG, including advancements in data interoperability and the potential for predictive modelling that support sustainability objectives.

This workshop is for ESG practitioners, compliance professionals, data and AI specialists, and leaders interested in responsibly leveraging technology and AI to meet compliance requirements while supporting sustainability goals.

Workshop Details

The class size will be strictly limited to ensure maximum participation for attendees.

Thursday, 13 March 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 classroom 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.