Responsible AI is no longer just a theory—it's a necessity. In this episode of The Founder's Foyer, we sit down with Aishwarya Srinivasan to explore how organisations are tackling ethical AI in real-world environments.
This discussion covers deep and practical insights into data privacy, copyright, enterprise integrations, and the future of agent-based systems. If you're building with AI or implementing LLMs in your org, this episode is a must-watch.
Learn how AI adoption, compliance, and governance must go hand-in-hand to shape innovation responsibly.
Timestamps:00:00 – Introduction: Why Responsible AI Matters 02:42 – Data-Centric AI vs. Theory: Applying Ethics in Practice 07:35 – Copyright & Model Training Dilemmas 11:40 – Post-Training, Filters & What Data Should Be Used 16:10 – Role-Based Access & AI in Enterprise Workflows 22:25 – Productivity Tools & Data Privacy Risks 29:20 – Agent vs Automation: What’s the Difference? 35:10 – Human-in-the-Loop: Where It Matters Most 41:00 – Real AI Use Cases: Sales, GTM, and Non-Tech Teams 48:00 – The Need for Cross-Functional AI Literacy 52:45 – The Challenge of Data Silos and Integration 58:10 – Final Thoughts: Building Trustworthy AI Systems
The Founder's Foyer with Aishwarya Ashok