Publication2025
Ethically-Aware AI: Bias Correction Via Counterfactual Explanation in ML
The record
- Type
- Publication
- Date
- 1 January 2025
- Level
- National
- Journal
- Proceedings of the International Conference on Electrical Electronics and Computer Science with Advance Power Technologies A Future Trends Ice2cpt 2025
- Published
- 1 January 2025
- DOI
- 10.1109/ice2cpt66440.2025.11340504
- Scopus ID
- 105033353972
- Authors
- 5
- Open access
- No
- Citations
- 0
- 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
10 Reduce inequality within and among countries
Counterfactual explanations identify and correct algorithmic bias in machine learning models, promoting equity in automated decision-making systems.
- 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
16 Promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levels
Fairness constraints and demographic parity establishment enhance institutional accountability and rule of law in algorithmic systems.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-4.1 Transparency, accountability and the rule of law
Ethical AI framework with bias detection ensures transparency and accountability in automated decision-making and governance systems.
- 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. “Ethically-Aware AI: Bias Correction Via Counterfactual Explanation in ML”. Kortex.