37 - Building AI Responsibly While the Rules Are Still Being Written – with Rishu Gandhi, Senior Data Engineer (Fortune 500 Bank)

In this episode, Rishu Gandhi, a senior data engineer specializing in machine learning and AI cybersecurity, discusses the urgent need for responsible AI practices amid evolving technologies and lagging regulations. We explore how organizations can embed ethics into AI development, the current regulatory landscape, and practical principles for building trustworthy, transparent AI systems

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Key Topics:

• The responsibility of builders in responsible AI and how ethical decisions shape AI products

• The current state and fragmentation of AI regulation globally, with insights into the EU AI Act and US efforts

• Practical principles for responsible AI development including input validation, confidence thresholds, ongoing monitoring, and transparency

• The role of trust, explainability, and effective communication in user adoption of AI

• Future outlook emphasizing regulation’s role in shaping AI’s evolution

⚠️Note: As AI regulation continues to develop, organizations across all sectors should proactively embed ethical principles into their AI workflows to build trustworthy, responsible systems—ensuring innovation aligns with societal values and safeguards.

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📚 Resources Mentioned

Connect with Rishu Gandhi: LinkedIn

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This episode is brought to you by Majestyk Apps

We imagine, design and build digital products. With clients like Chevrolet, Audiomack, IBM, Barefoot and more, you can be sure you are in good hands. Reach out to us at MajestykApps.com

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