Publication2024
Gender Disparity in Artificial Intelligence: Creating Awareness of Unconscious Bias
The record
- Type
- Publication
- Date
- 1 January 2024
- Level
- National
- Journal
- Artificial Intelligence in Forecasting Tools and Techniques
- Pages
- 98-112
- Published
- 1 January 2024
- DOI
- 10.1201/9781003399292-7
- Scopus ID
- 85195978391
- Authors
- 2
- Open access
- No
- Citations
- 1
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
5 Achieve gender equality and empower all women and girls
Gender disparity in artificial intelligence addresses unconscious bias in AI system development and workforce diversity.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
10 Reduce inequality within and among countries
AI gender bias analysis addresses inequality in algorithmic decision-making and male-dominated technology fields.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-1.4 Nari Shakti — women's empowerment and leadership
Gender equality in AI development supports women's empowerment and leadership in technology sectors.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- 1
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Citing this record
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KIIT Deemed to be University. “Gender Disparity in Artificial Intelligence: Creating Awareness of Unconscious Bias”. Kortex.