{
  "id": 1991,
  "url": "https://link.springer.com/article/10.1007/s10462-026-11638-y",
  "title": "Engineering carbon credits with AI towards a responsible FinTech era: the practices, implications, and future",
  "summary": "Carbon emissions drive climate change, and carbon credits mitigate climate deterioration and environmental damage while assisting organizations in managing their carbon footprint. Fully utilizing carbon credits remains challenging. This study enhances understanding of the engineering practices for carbon credits to develop responsible fintech solutions and provide insights for carbon emission management. We review the negative impacts of organizations’ strategy of evading carbon management throu",
  "authors": null,
  "category": "research",
  "topics": "environment,finance-investment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-02T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:11:46.979Z",
  "source_slug": "x-artificial-intelligence-review",
  "source_name": "Artificial Intelligence Review",
  "source_homepage": "https://link.springer.com/journal/10462",
  "ethics_ai_record_url": "https://ethics.ai/record/1991",
  "original_url": "https://link.springer.com/article/10.1007/s10462-026-11638-y",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}