Potentials and challenges of artificial intelligence-supported greenwashing detection in the energy sector
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The nature of socio-ethical concerns has deepened, moving beyond privacy to tackle nuanced issues of algorithmic bias and AI-driven greenwashing.
“Most significantly, the nature of socio-ethical concerns has deepened, moving beyond privacy to tackle nuanced issues of algorithmic bias and AI-driven greenwashing [41].”
From Addressing Challenges for the Effective Adoption of Artificial Intelligence in the Energy Sector (2025) · cites this paper as [41]
Adopting novel AI-enabled technologies (e.g., blockchain for energy, AI for ESG/greenwashing detection) presents strategic dilemmas.
“Adopting novel AI-enabled technologies (e.g., blockchain for energy, AI for ESG/ greenwashing detection) presents strategic dilemmas [31,34,41].”
From Addressing Challenges for the Effective Adoption of Artificial Intelligence in the Energy Sector (2025) · cites this paper as [41]
New AI uses bring ethical implications (e.g., AI perpetuating greenwashing).
“New AI uses bring ethical implications (e.g., AI perpetuating greenwashing, Section 3.4.2;[41])”
From Addressing Challenges for the Effective Adoption of Artificial Intelligence in the Energy Sector (2025) · cites this paper as [41]
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- Authors
- Boedijanto, F. J. O., & Delina, L. L.
- Affiliations
- Hong Kong University of Science and Technology (HK)
- Corresponding author
- Delina, Laurence L.
- Venue
- Energy Research & Social Science
- Publisher
- Elsevier BV
- Published
- 2024-09
- Volume
- 115
- Pages
- 103638
- ISSN
- 2214-6296 (ISSN-L)
- OpenAlex
- W4399617874
- Cited by
- 33
- References
- 40
- Citations by year
- 2026: 16 · 2025: 14 · 2024: 3
- FWCI
- 11.16
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Energy Research & Social Science (publishedVersion)
- Rare & Special e-Zone (The Hong Kong University of Science and Technology) (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Strategy and Management › Corporate Social Responsibility Reporting
- Social Sciences › Economics, Econometrics and Finance › Finance › Sustainable Finance and Green Bonds
- Social Sciences › Business, Management and Accounting › Marketing › Environmental Sustainability in Business
- Keywords
- greenwashing detection, artificial intelligence, fossil fuel industry, environmental disclosure, web scraping, natural language processing, life cycle assessment, transparency, algorithmic bias
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