EVENT TITLE: Ethical Challenges in Artificial Intelligence Development

DATE: 04-09-2025

TIME: 8:30 a.m. to 10 a.m.

VENUE: Block – V, Galley Hall -I

EVENT CONVENER: Dr. S. Subbaiah, Convener, AI&ML

EVENT CO-ORDINATORS: Ms. G. Preetha, Assistant Professor, AI&ML, Ms. S. Samundeeswari, Assistant Professor, AI&ML

NO.OF PARTICIPANTS: 146

SUMMARYOFTHEEVENT:

Ethical Challenges in Artificial Intelligence Environment

The session on “Ethical Challenges in Artificial Intelligence Environment” was organized by the Department of Artificial Intelligence and Machine Learning to create awareness among students about the implications of Artificial Intelligence (AI) on society, business, and individuals. The event aimed to provide insights into the ethical dilemmas, responsibilities, and best practices in the use of AI technologies.

The session commenced with a welcome address delivered by Dr. S. Subbaiah, Event Coordinator. The introduction of the resource person was given by the Dr. K.S. Sagayapriya, Event Co-ordinator. The occasion was further dignified by the felicitation and honoring of the guest by our Dean, FSH, Dr. S. Thirumagan.

The resource person for the session was Dr. J. Baskaran, Head, Generative AI, TCS, Chennai, who shared his expertise and practical experience in handling real-world AI projects.

Dr. Baskaran highlighted various aspects of AI ethics such as transparency, accountability, and bias in algorithms, data privacy, job displacement, and the role of human oversight in AI systems. He illustrated the concepts with real-time industry examples, case studies, and explained how responsible AI practices can balance innovation with societal well-being.

Students actively engaged in the interactive session, asking thought-provoking questions about bias mitigation, ethical frameworks, and the global impact of AI technologies. The event fostered a lively discussion, encouraging students to critically analyze the benefits and risks of AI adoption in multiple domains.

The program concluded with an expression of gratitude to the guest speaker, acknowledging his valuable insights and the inspiration provided to the student community.

Key Takeaways:

  • Understood the significance of ethics in AI development and deployment.
  • Gained awareness of challenges such as bias, fairness, and accountability in AI systems.
  • Learned industry practices and real-world applications of responsible AI.
  • Encouraged students to think critically about the societal impact of AI innovations.

OUTCOMES OF THE PROGRAM: (Based on SDG)

SDG 4: Quality Education

The session emphasized the importance of integrating ethical AI into education to strengthen digital literacy and critical thinking among students. By embedding AI-focused curricula, learners can acquire future-ready skills while understanding the responsible use of technology. Moreover, providing inclusive access to AI-based learning tools helps bridge educational gaps and ensures that quality education reaches all sections of society.

SDG 9: Industry, Innovation, and Infrastructure

The lecture highlighted how ethical AI can become a driving force for sustainable industrial growth by encouraging responsible innovations. Building secure and transparent digital infrastructures fosters trust in technology and ensures reliability in various sectors. At the same time, promoting AI-driven research and development with an ethical foundation ensures that technological progress benefits industries without compromising societal well-being.

SDG 11: Sustainable Cities and Communities

The discussion addressed how ethical AI practices can support the development of safer, more inclusive, and sustainable cities. Through responsible applications in smart city solutions, AI can improve urban management and enhance community safety. Additionally, ethical AI contributes to sustainable practices such as energy efficiency, waste management, and better urban planning, ultimately creating communities that are resilient and inclusive.