Jaipuria Institute of Management, Ghaziabad, under the aegis of the Institution Innovation Council (IIC), organized a thought-provoking webinar titled “How to Build an Ethical AI Culture” on 3 February 2026. The session was conducted with the objective of sensitizing students and faculty to the ethical dimensions of Artificial Intelligence and promoting responsible, human-centric use of emerging technologies.
The webinar witnessed active participation from 45 students and faculty members and was coordinated by Dr. Devi Archana Mohanty. The initiative reflected JIM’s commitment to integrating ethics, innovation, and responsible leadership within management education.
Expert Insights from the Resource Person
The session was led by Mr. Rishabh Agarwal, a senior Supply Chain leader, AI thought leader, entrepreneur, and guest faculty with nearly two decades of global industry experience. He has worked with leading multinational organizations such as Fluor Corporation and Air Products, and is the Founding Director of FaxLab AI, an organization dedicated to responsible and human-centric AI applications.
An author and public speaker, Mr. Agarwal’s work focuses on ethical AI, leadership, and responsible decision-making in the age of advanced technologies. His practical industry perspective enriched the session and provided participants with real-world context.
Objectives of the Webinar
The webinar was designed to achieve the following objectives:
- Create awareness about ethical challenges in AI such as bias, data privacy, transparency, and accountability
- Introduce the concept of building an organizational AI culture grounded in ethics and responsibility
- Highlight the role of stakeholders including developers, managers, educators, policymakers, and users in ethical AI adoption
- Share practical strategies and frameworks for implementing ethical AI practices
- Encourage critical thinking on the long-term social, economic, and cultural impact of AI technologies
Key Session Highlights
Mr. Agarwal emphasized that AI ethics goes beyond regulatory compliance and requires cultivating a culture where fairness, transparency, and accountability are embedded into technological innovation. Through real-world examples, he explained how algorithmic bias, misuse of data, and lack of explainability can result in unintended consequences.
A central theme of the session was the importance of organizational culture in shaping ethical AI outcomes. Participants learned that ethical considerations must be integrated across the entire AI lifecycle, including:
- Data collection and data quality management
- Model design and development
- Deployment and real-world application
- Continuous monitoring and evaluation
Interactive discussions encouraged participants to reflect on ethical dilemmas in AI applications across sectors such as healthcare, finance, education, and governance. These discussions helped bridge theoretical understanding with practical decision-making scenarios.
Outcomes and Learning Impact
The webinar successfully enhanced participants’ understanding of the ethical risks and responsibilities associated with AI systems. Attendees gained clarity on how ethical challenges arise and how proactive governance, leadership commitment, and interdisciplinary collaboration can mitigate these risks.
The session reinforced the importance of responsible innovation and prepared participants to approach AI-driven decision-making with integrity, accountability, and social awareness.
