What’s covered
How artificial intelligence is revolutionizing sustainability disclosure practices.
AI applications are streamlining data collection, enhancing analytical capabilities, and improving the accuracy and comparability of ESG metrics across global reporting frameworks. Explore how machine learning algorithms can identify material sustainability risks, automate complex emissions calculations, and provide predictive insights that inform strategic decision-making. The discussion will address practical implementation challenges including data quality issues, algorithmic transparency requirements, and the balance between automated systems and human oversight in assurance processes.
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