Foundations of Ethical AI Workshop
16 - 19 June 2026
Welcome to the Foundations of Ethical AI Workshop (16-19 June 2026) at IIIT Hyderabad—an engaging and immersive program designed for students, researchers, and practitioners eager to build responsible and ethical AI systems.
With the rapid success of Large Language Models (LLMs), AI has become increasingly ubiquitous and central to decision-making across diverse domains. This makes addressing challenges such as fairness, trustworthiness, robustness, explainability, and privacy more critical than ever. Through expert-led talks and interactive sessions, the workshop provides a strong foundation along with insights into cutting-edge research in ethical AI.
The program also features hands-on sessions and offers participants the opportunity to showcase their work through poster presentations, making it a vibrant platform for learning, collaboration, and innovation.
About Workshop
The Foundations of Ethical AI Workshop 2026 is crafted as a dynamic platform for learning, collaboration, and meaningful dialogue on both the technical and societal dimensions of AI. The program introduces participants to key topics such as
Algorithmic Fairness in Machine Learning
Explainability and Interpretability in AI
Privacy-preserving and Trustworthy AI
Responsible AI in real-world applications with Social Implications
Ethical challenges in data-driven decision-making and Federated Learning
Policy, Governance, and Fairness audit of new-gen AI systems
Who Can Apply?
The summer school is open to :
🎓 Senior Undergraduate (Students in 3rd year or above)
🔬 MS/PhD/PostDoc/Researchers
🤖 Industry AI Personnel
🏛️ Interested Academicians
Applicants from computer science, artificial intelligence, data science, mathematics, economics, social sciences, and related disciplines are strongly encouraged to apply.
Registration
Registration details, important deadlines, and participation guidelines will be announced soon.
Stay tuned for updates on:
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Registration opening date
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Application process
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Program schedule
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Accommodation and travel information
