What are the main challenges in integrating AI with ESG criteria?
The main challenges include data quality, regulatory compliance, and aligning AI models with ESG goals.
Can you elaborate on data quality issues?
Sure! Data quality issues arise from incomplete, biased, or outdated data, which can lead to inaccurate AI predictions.
How does regulatory compliance affect AI in ESG?
Regulatory compliance requires AI systems to adhere to specific standards, which can complicate model development and deployment.
What are some strategies to overcome these challenges?
Strategies include improving data governance, collaborating with stakeholders, and continuously monitoring AI performance.
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