Episode 2: Sven Patzer and Aamar Hussain Discuss Recent ChatGPT Ban in Italy and Regulating AI: Navigating the Reality of Bans, Frameworks, and Ethical Concerns

Welcome to episode 2 of Future Frenzy, the podcast that explores the latest technological developments, innovation, and the future. In this episode of Future Frenzy, host ⁠Sven Patzer⁠ and ⁠Aamar Hussain ⁠ delve into the realities of regulation in AI.

Aamar Hussain, MSc is more significant than only a senior tech chief; he’s a passionate advocate for Knowledge & AI. He believes in serving enterprises to lead, construct, and encourage with their knowledge and AI techniques, enabling them to remodel digitally and obtain innovation and progress. He focuses on establishing solid foundations for enterprise systems and AI and scaling and constructing value-driven capabilities.

Aamar is a senior tech leader. His most recent assignment was as Director of Data & AI within Microsoft Azure customer success. The Data & AI CSA team aims to empower customer value and realization using Azure Data & AI portfolio. Before Microsoft, Aamar led the CCAI (Contact Centre AI) practice at Google working with key strategic customers and partners to create and execute on CX (Customer Experience) transformation vision using Google AI/ML. Aamar holds a Master of Science in Information Systems with over 18 years of industry experience centered around engineering, consulting, and enterprise solution architecture in a variety of verticals working with Accenture, BT, and DXC (previously known as CSC)

The conversation starts with the recent ban of ChatGPT in Italy and the implications of such decisions. The hosts then discuss the governing documents for AI created by the UK and how they compare to other regulatory frameworks worldwide.

The conversation then takes an interesting turn as the hosts discuss the training of models with other models and the ethical concerns surrounding it. They also explore the activity of models to verify whether AI data is verifiable or not and how it can be used to ensure transparency and accountability in AI systems.

As the discussion draws to a close, the hosts touch on other ethical concerns behind the decisions made in regulating AI and how they impact the future of technology.

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