Leveraging Generative Artificial Intelligence In Sustainability Reporting

Training Provider: SINGAPORE MANAGEMENT UNIVERSITY
Course Reference: TGS-2025058033
S$300
Original: S$1,000
Save S$700

About This Course

Unlock the power of Generative Artificial Intelligence (Gen AI) for smarter sustainability reporting,

As sustainability regulations evolve - driven by frameworks like the Global Reporting Initiative (GRI), Sustainability Accounting Standards Board (SASB), Task Force on Climate-related Financial Disclosures (TCFD), and International Financial Reporting Standards (IFRS) S2, professionals should be equipped with the knowledge and skills needed to harness the power of Gen AI for sustainability reporting.

This hands-on course explores how Gen AI can transform the way to automate data collection, enhance narrative reporting, and ensure the ethical use of AI in sustainability initiatives. Through real-world case studies, hands-on workshops, and guided exercises, participants will gain practical skills to integrate AI into sustainability reporting workflows, improving data accuracy, streamlining processes, and strengthening stakeholder communication.

What You'll Learn

By the end of the programme, participants will learn how to:
• Understand the role of Generative Artificial Intelligence (Gen AI) in sustainability reporting.
• Develop skills to automate and enhance the accuracy of sustainability reports.
• Learn to integrate AI-driven insights into sustainability strategies.
• Be able to assess and mitigate ethical and environmental risks associated with AI in reporting.

Entry Requirements

Participants should possess a diploma or degree in fields such as business, sustainability, environmental science, accounting, or information systems, along with at least 1 - 2 years of relevant work experience in areas like Environmental, Social, & Governance, compliance, reporting, or digital transformation. They should have a basic understanding of sustainability reporting frameworks (e.g., GRI, TCFD, ISSB), be comfortable using digital tools and platforms, and have general awareness of AI concepts (no coding required). Proficiency in English, both written and spoken, is also necessary as the programme is delivered in English.

Course Details

Duration 8 hours
Language English
Training Commitment Not specified
Total Enrolled 13 students
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