Balancing Privacy, Innovation, and Fairness: Rethinking AI's Usage Models
CX
As AI continues to reshape industries, the challenge lies in creating an ecosystem that balances privacy, fairness, and innovation. How do we ensure that AI respects individual privacy while fostering equitable value exchange and driving progress? In this roundtable, we’ll explore the critical question of how to build a sustainable AI framework that benefits everyone.
We’ll also dive into the debate between decentralized, open-source approaches versus centralized models. Which path offers the best balance between scalability and ethical responsibility? Finally, we’ll discuss how businesses can prepare for the transformative potential of Agentic AI while staying agile in the face of rapid technological advancements.
Time & Place
October 30, 2025
10:15 - 10:45
Zurich I+II
Limited to 180 participants.
Meet Your Intructors

Gabriel Ceicoschi
Sr. Developer HALO, CM.com
Gabriel Ceicoschi is a Senior Software Engineer at CM.com, where he plays a key role in developing HALO, the company’s platform for building AI agents and automation. With over seven years of software engineering experience, Gabriel is passionate about making AI useful for everyone by prioritizing user experience, privacy, and security. His work focuses on shaping the next generation of digital products, from retrieval-augmented generation (RAG) to agentic workflows, while sharing practical insights with the wider AI community.
What To Expect
Who Is This For?
Enterprise Product Managers
Data Scientists
CTOs
CIO
Pre-Requisites
No Prerequisits
What You'll Learn & Do?
Building a fair, sustainable AI ecosystem
Balancing privacy, equity, and innovation
Decentralized vs. centralized AI approaches
Preparing for Agentic AI’s impact
Staying adaptable to future advancements
Agenda & Activities
✓ Chatham House Rule to Encourage Open Exchange
✓ No Recordings Allowed
✓ You Must Book This Session to Participate
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