{
  "id": 9929,
  "url": "https://doi.org/10.1080/0952813x.2026.2678591",
  "title": "What is ethical: AIHED driving humans or Human-Driven AIHED? A conceptual framework enabling the ‘ethos’ of AI-driven higher education",
  "summary": "Artificial Intelligence (AI) is transforming higher education (HE) through personalised learning, predictive analytics, and intelligent automation. However, concerns over algorithmic bias, privacy, and inequity necessitate governance models that prioritise Human Intelligence (HI). This study introduces the Human-Driven AI in Higher Education (HD-AIHED) framework, which embeds stakeholder-driven HI, particularly in decision-making and feedback across all five AI lifecycle phases: adoption (multi-",
  "authors": "Prashant Mahajan",
  "category": "research",
  "topics": "bias-fairness,regulation,privacy-surveillance,jobs-economy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-19T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:34:04.098Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/9929",
  "original_url": "https://doi.org/10.1080/0952813x.2026.2678591",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}