Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework

Trustworthy AI requires sector-specific frameworks: The paper demonstrates that generic AI ethics guidelines need customization for different industries. The authors developed E-TAI specifically for energy applications (smart grids and smart buildings) rather than relying solely on broader EU frameworks like the AI Ethics Guidelines for Trustworthy AI, suggesting that one-size-fits-all approaches to responsible AI may be insufficient.

The EU is building a comprehensive regulatory ecosystem for trustworthy AI: The study identifies multiple complementary tools already in place or development—including the AI Act, ALTAI (Assessment List for Trustworthy AI), and CEN-CENELEC standardization efforts—indicating that responsible AI governance involves coordination across legal, ethical, and technical standards rather than single regulations.

Energy sector stakeholders need practical evaluation tools: The E-TAI framework is designed specifically for researchers, developers, and energy experts working with transmission and distribution system operators, recognizing that professionals need actionable guidance to assess trustworthiness "throughout their development and iterative assessment processes" rather than only at deployment.

The current landscape is "fuzzy" and fragmented: The paper's characterization of the trustworthy AI landscape as "fuzzy" suggests that despite multiple initiatives and frameworks, stakeholders may struggle to navigate conflicting or unclear guidance—highlighting a gap between the proliferation of AI governance efforts and their practical accessibility.