Ensuring Responsible AI: The Role of Supervised Fine-Tuning (SFT) in Upholding Integrity and Privacy Regulations
The interdisciplinary approach combines regulatory analysis, technical research, and case studies. It proposes integrating privacy-preserving techniques—differential privacy, secure multiparty computation, and federated learning—with SFT during deployment.
The research also advocates incorporating Human-in-the-Loop (HITL) and Explainable AI (XAI) to ensure ongoing oversight and interpretability. SFT is positioned not only as a technical method but as a core enabler of responsible AI governance and public trust.
Tejaskumar Pujari, et al. (2024). Ensuring Responsible AI: The Role of Supervised Fine-Tuning (SFT) in Upholding Integrity and Privacy Regulations. International Journal Science and Technology (IJST), 3(3). https://doi.org/10.56127/ijst.v3i3.1968
Tejaskumar Pujari; Anshul Goel; Ashwin Sharma, "Ensuring Responsible AI: The Role of Supervised Fine-Tuning (SFT) in Upholding Integrity and Privacy Regulations," International Journal Science and Technology (IJST), vol. 3, no. 3, 2024.
Tejaskumar Pujari; Anshul Goel; Ashwin Sharma. "Ensuring Responsible AI: The Role of Supervised Fine-Tuning (SFT) in Upholding Integrity and Privacy Regulations." International Journal Science and Technology (IJST), vol. 3, no. 3, 2024.
Tejaskumar Pujari; Anshul Goel; Ashwin Sharma. "Ensuring Responsible AI: The Role of Supervised Fine-Tuning (SFT) in Upholding Integrity and Privacy Regulations." International Journal Science and Technology (IJST) 3, no. 3 (2024).
Tejaskumar Pujari, et al. (2024) 'Ensuring Responsible AI: The Role of Supervised Fine-Tuning (SFT) in Upholding Integrity and Privacy Regulations', International Journal Science and Technology (IJST), 3(3). doi: 10.56127/ijst.v3i3.1968.
Tejaskumar Pujari; Anshul Goel; Ashwin Sharma. Ensuring Responsible AI: The Role of Supervised Fine-Tuning (SFT) in Upholding Integrity and Privacy Regulations. International Journal Science and Technology (IJST). 2024;3(3).
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