Spillover Effect Details
- Policy
-
EU AI Act
- Alternative
-
AI Accountability Training and Certification Program
- Dimension
- Environment
- Criteria
-
- Reduction of CO2 emissions
- Time Frame
- 15
- Score
-
- PositiveImpact
- Over the long term, the AI Accountability Training and Certification Program is expected to create a more knowledgeable workforce capable of implementing AI technologies ethically and responsibly. Increased compliance with the EU AI Act may lead to fewer environmentally harmful practices and a reduction in CO2 emissions due to improved decision-making in high-impact sectors such as healthcare and energy.
- NegativeImpact
- However, if the AATCP fails to adequately prepare participants or if skepticism about the training reduces its adoption, the initiative could backfire. Poorness in integrating environmental concerns within AI compliance could lead to continued emissions and a lack of innovation in green technologies, further exacerbating climate change issues.
- Description
- The AATCP's objectives, while noble, do not directly address the pressing challenges posed by CO2 emissions. Its success largely relies on the commitment of AI producers and users to change practices. The framework lacks a direct mechanism to leverage AI in reducing environmental impacts or fostering significant engagement with pressing environmental education, especially when compared to alternatives like AI-Enhanced Environmental Education Initiatives and the AI Ethics and Impact Assessment Framework for SMEs, which are more directly aligned with sustainability goals.