Call for Proposals

20-30 minute presentations, including Q&A. Presentations should focus on new and innovative approaches, a specific real-world strategy or campaign, case study/use case, or a “how-to" presentation intended to help attendees gain a better understanding of the initiative, and best practices that they can apply to their day-to-day objectives or overall missions. Submissions applying GAMP® principles and key concepts for AI in GxP-regulated environments are encouraged.

The 2026 AI Summit program committee is requesting proposals aligning with the following content areas:

1. AI Strategy and Leadership

This content area emphasizes governance and leadership as critical enablers of AI adoption, ensuring strategies align with quality, compliance, and lifecycle management expectations, including how organizations can set a clear vision for AI adoption, align stakeholders, and lead with confidence in a rapidly evolving regulatory and technological landscape. Sessions will explore approaches to overcoming cultural resistance, bridging skill gaps, and driving transformation through executive sponsorship, governance, and cross-functional collaboration.

The following items may serve as inspiration for contributions fitting this stream:

• What it takes to become an AI-driven organization – where do start, how to scale
• A strategic perspective on preparing the workforce for AI adoption
• From vision to implementation to adopt AI in GMP

2. Regulatory, Compliance & Quality

This content area focuses on the evolving regulatory landscape and its impact on AI adoption in life sciences. Submissions should include proposals exploring global guidance, inspection readiness, compliance strategies, and risk management approaches, while addressing how organizations can uphold product quality, patient safety, and data integrity in AI-enabled computerized systems.

The following items may serve as inspiration for potential topics:

• Facilitating cross-functional collaboration for inspection-readiness – insights from using AI in GCP
• Scaling AI: Risk-based approaches in practice
• Insights from a unified approach to AI governance across GxP

3. Technology Foundations and Infrastructure

This content area underscores the importance of building qualified platforms that support compliant AI integration across regulated environments. Submissions should cover challenges such as legacy systems, interoperability, and data quality, while highlighting the platforms and tools that enable safe, scalable, and compliant AI adoption in life sciences. Proposals are encouraged that showcase approaches to building scalable infrastructure, embedding strong governance, integrating AI-ready platforms across the value chain, and implementing use cases that take advantage of AI-enabled platform approaches.

Suggested proposal topics:

• Insights from a platform approach to enable Generative AI on scale
• How can integrating cloud-based MLOps infrastructure boost the scalability of AI
• A journey from paper to AI – how data platforms and cloud services laid the foundation for our AI journey

4. Innovation Frontiers and Future Horizons

Emerging technologies, including AI, can be adopted responsibly when there is a balance of flexibility to innovate and upholding of compliance. This content area highlights the emerging technologies, disruptive innovations, and bold ideas that will shape the next generation of AI in life sciences. Submissions should include how organizations can anticipate regulatory change, manage investment risks, and navigate ethical considerations while building flexible roadmaps and creating ecosystems that balance experimentation with compliance.

The following items may serve as inspiration for contributions fitting this stream:

• Can Agentic AI bring us closer together? Stories from bridging Discovery and R&D
• Message from the future: A story about the search for a computerized system not using AI
• It is not about AI alone – implementing emerging technologies in a GMP context

5. AI Applications Across the Pharmaceutical Value Chain

This content area explores the transformative role of AI across drug discovery, clinical development, manufacturing, quality, supply chain, and post-market surveillance, as well as the use of AI in medical devices. Sessions will highlight real-world examples of how organizations are scaling AI responsibly while addressing compliance, data integrity, and the need for cross-functional alignment, and providing insights into business benefits achieved.

Example topics could include:

• From GCP to medical device: The innovation potential of using AI in clinical trials
• AI as key for precision medicine from discovery to safety
• Stepping up validation, raising quality, and boosting efficiency with the use of AI
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6. Knowledge Management and AI Literacy

The use of AI on a scale is not just about the technology but also about people, processes, and organizational culture. This content area examines how organizations can equip their workforce with the skills and knowledge to adopt AI responsibly and effectively. Sessions will address workforce skill gaps, inconsistent knowledge sharing, and raising awareness of regulatory expectations. Contributions are welcome that highlight initiatives to build literacy, strengthen collaboration, and enable continuous learning.

Potential proposal topics:

• Insights from companies’ AI upskilling programs
• What AI literacy means for overseeing AI in GMP investigations
• Insights from reaching a unified AI terminology

All presentations must be free of commercial intent. Incomplete proposals will not be considered. 

• By submitting a proposal, you acknowledge that, if your proposal is accepted, the speaker will attend/present in-person at the event and the speaker’s attendance at the event will be supported by their organization.
• Accepted AI in Life Sciences Summit speakers are responsible for their own travel and accommodations.
• Speakers (including co-speakers, panelists, keynotes, and regulators) giving at least a 30-minute presentation receive complimentary conference registration.
• Consulting firms or vendor/suppliers are expected to include a speaker from an owner company to present. A confirmed or tentative owner company co-presenter should be noted in the submission. By submitting a proposal, you acknowledge that you are committed to including a co-presenter from an owner company.
• Regulators interested in submitting a proposal: Please contact Brandy Berry (bberry@ispe.org) to submit your abstract.