AI Governance: The Modern Frontier in Tech and Healthcare
WALTHAM, Mass. – The convergence of artificial intelligence with high-impact industries like oncology and telecommunications is driving a critical need for robust AI governance frameworks. This week, Andrew Feinberg, CEO of BostonGene and Chairman & CEO of Netcracker Technology, will address this pivotal topic as a keynote speaker at Mobile World Congress Barcelona 2026.
From Oncology to Global Networks: A Unified Approach to AI
Feinberg’s keynote, titled “The Intelligence Dividend: Governing AI at Scale,” will explore how lessons learned from the rigorous demands of applying AI in precision oncology can be translated to other sectors. The application of AI in oncology, as noted by Surbhi Gupta, Industry Principal at Frost & Sullivan, “demands a level of rigor and accountability that is rare in other sectors.” This inherent need for precision and patient safety is now becoming a benchmark for responsible AI deployment across the board.
BostonGene’s work exemplifies this trend. The company’s AI foundation model integrates multi-omics data – genomic, transcriptomic, and immune data – to improve therapeutic success and mitigate risk in drug development. This approach highlights the power of AI when coupled with a strong governance framework.
The Rise of Cross-Industry AI Standards
The invitation for Feinberg to speak on the main stage at Mobile World Congress underscores the growing recognition that AI governance is no longer a niche concern. With over 100,000 industry leaders attending, MWC Barcelona serves as a key platform for shaping the future of technology. The event’s focus on AI, digital ecosystems, and cross-industry innovation positions AI governance as a central theme for discussion.
Feinberg’s unique perspective, leading AI deployment in both complex biological systems and large-scale networks, provides a valuable bridge between these traditionally separate fields. He will discuss the importance of transparency and human oversight in scaling intelligence effectively.
Why AI Governance Matters: Beyond Compliance
Effective AI governance isn’t simply about adhering to regulations; it’s about building trust and maximizing the potential of AI. A rigorous framework ensures that AI systems are reliable, fair, and accountable. This is particularly crucial in sensitive areas like healthcare, where decisions can have life-or-death consequences.
Netcracker Technology’s work in digital transformation for communications service providers also highlights the need for governance. As networks become increasingly complex and reliant on AI-driven automation, ensuring the security and reliability of these systems is paramount.
The Future of AI: A Roadmap for Responsible Innovation
Feinberg’s keynote will offer a roadmap for how organizations can learn from the successes and challenges of AI deployment in oncology and apply those lessons to their own contexts. This includes establishing clear guidelines for data privacy, algorithmic bias, and human oversight.
The ultimate goal is to unlock the “intelligence dividend” – the full potential of AI to drive innovation and improve lives – while mitigating the risks associated with this powerful technology.
Frequently Asked Questions
- What is AI governance? AI governance refers to the frameworks, policies, and processes used to ensure that AI systems are developed and deployed responsibly and ethically.
- Why is AI governance important in healthcare? In healthcare, AI governance is crucial for ensuring patient safety, data privacy, and the accuracy of diagnoses and treatment plans.
- What role does BostonGene play in AI governance? BostonGene is developing AI solutions for oncology that prioritize rigor, accountability, and transparency, setting a standard for responsible AI deployment.
- Where can I learn more about Andrew Feinberg’s keynote? You can find more information about the keynote at MWC Barcelona’s website.
Pro Tip: When evaluating AI solutions, always ask about the governance framework in place. Understanding how the system was developed, tested, and monitored is essential for ensuring its reliability and trustworthiness.
What are your thoughts on the future of AI governance? Share your insights in the comments below!
