Explainable and Trustworthy AI for Healthcare Analytics (AICTE Sponsored ATAL-VAANI Two Days Workshop, Bilanguage - English and Hindi)
A two-day national workshop on explainable AI, trustworthy machine learning and responsible AI for healthcare data analytics, delivered in English and Hindi.
- 16 Dec 2026 to 17 Dec 2026
- Jhulelal Institute of Technology (JIT), Nagpur
- Department of Computer Science and Engineering (AI&DS)
- Nagpur, Maharashtra, India
At a glance
- Type
- National Workshop
- Mode
- Offline
- Dates
- 16–17 Dec 2026 (2 calendar days)
- Fee
- Free
- Next deadline
- Registration: 20 Nov 2026
- Who can attend
- For Faculty members from AICTE approved Institutes & Research Scholar Students.
- Eligibility
- Apply on the AICTE ATAL Academy portal by 20 Nov 2026; a no-objection certificate from the parent institution is required (format in the brochure). Conducted in English and Hindi.
- Certificate
- The certificates will be issued to participants having minimum 80% attendance in all sessions followed by Feedback and Test through AICTE portal.
- Venue
- Jhulelal Institute of Technology, Off Koradi Road, Nagpur-441111
Fee structure
| Category | Fee |
|---|---|
| Registration fee | Free |
Important dates
- Registration closes20 Nov 2026
Contact
Thrust areas
Explainable AI (XAI)Trustworthy machine learningResponsible AI practicesHealthcare data analyticsModel interpretabilityFairness, privacy and regulatory considerations
Checked against the organiser's official page or brochure · listed 28 Oct 2026
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