Healthcare AI & FDA Compliance 2023

Event Details

Participants

Dr. Dr. Veronica Silva 🇧🇷

Responsible AI Lab

Program Chair

Session_chair: Program Chair Track: Program Room: Main Hall Featured

Chair: Session

Bias detection & lineage.

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Prof. Prof. Emily Carter 🇺🇸

Princeton University

Professor of Computer Science

Keynote: Opening Keynote Track: Keynotes Room: Main Hall Feb 19, 2024 3:00 AM – 3:45 AM Featured

Keynote: Governance that Engineers Can Ship

Controls, KPIs, and proofs.

Trustworthy AI systems.

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Dr. Dr. Liam O�Rourke 🇮🇪

ModelGrid

VP, MLOps

Keynote: Industry Keynote Track: Keynotes Room: Main Hall Feb 19, 2024 4:00 AM – 4:45 AM Featured

Keynote: The Evidence-First ML Platform

Lineage, attestations, approvals.

Model lifecycle & audit.

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Nikhil Sharma 🇮🇳

ObserveAI

Principal Engineer

Session_chair: Track Chair Track: Monitoring Room: Room MN Featured

Chair: Session

Drift & data quality.

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Zuzanna Nowak 🇵🇱

XAI Lab

Staff Scientist

Session_chair: Track Chair Track: Explainability Room: Room EX Featured

Chair: Session

SHAP/LIME and audits.

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Ariana Costa 🇵🇹

XAI Lab

Workshop Instructor

Workshop_instructor: Hands-on Lab Track: Workshops Room: Lab A Feb 20, 2024 4:30 AM – 6:00 AM Featured

Workshop: From SHAP to Reason Codes

Generate, store, explain.

XAI tooling & UX.

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Gustavo Lima 🇧🇷

HealthML

ML Engineer

Speaker Track: Monitoring Room: Room MN Feb 19, 2024 5:15 AM – 5:45 AM

Talk: Detecting Silent Model Rot

Data drift vs. concept drift.

Healthcare monitoring.

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Amira Hussein 🇪🇬

FairAI

Research Engineer

Speaker Track: Explainability Room: Room EX Feb 19, 2024 6:00 AM – 6:30 AM

Talk: Bias Metrics that Matter

Selection, parity, and impact.

Bias metrics & mitigations.

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Peter Jensen 🇩🇰

AutoML Ops

Engineer

Speaker Track: Monitoring Room: Room MN Feb 19, 2024 7:15 AM – 7:45 AM

Talk: Safe Auto-Retraining in Production

Shadow, canary, rollback.

Automated retraining.

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Chiara Romano 🇮🇹

ExplainIt

Scientist

Speaker Track: Explainability Room: Room EX Feb 19, 2024 8:00 AM – 8:30 AM

Talk: Reason Codes Users Understand

UX patterns for XAI.

Human-centered explanations.

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Bilal Rahimi 🇦🇪

ModelGrid

Platform Engineer

Speaker Track: Monitoring Room: Room MN Feb 19, 2024 9:00 AM – 9:30 AM

Talk: Attestation Pipelines for ML

Signed artifacts & lineage.

Model registry & attestations.

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Nora Kaczmarek 🇵🇱

Independent

Moderator

Moderator: Panel Moderator Track: Panel Room: Main Hall Feb 19, 2024 10:00 AM – 10:45 AM

Panel: Responsible AI in Production

Controls, audits, and reality.

Responsible AI advocate.

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Salma Ben Ali 🇹🇳

FinTrust

Head of Risk

Panelist: Panelist Track: Panel Room: Main Hall Feb 19, 2024 10:00 AM – 10:45 AM

Panel: Responsible AI in Production

Policies that work.

Risk & compliance for AI.

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Jasper van Dijk 🇳🇱

HealthML

Director of Engineering

Panelist: Panelist Track: Panel Room: Main Hall Feb 19, 2024 10:00 AM – 10:45 AM

Panel: Responsible AI in Production

Evidence & traceability.

Clinical ML systems.

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Borja Castillo 🇪🇸

ObserveAI

Workshop Instructor

Workshop_instructor: Hands-on Lab Track: Workshops Room: Lab B Feb 20, 2024 7:30 AM – 9:00 AM

Workshop: Design an ML Observability Playbook

SLIs, SLOs, dashboards.

Monitoring stacks.

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Tamara Jovanovi? 🇷🇸

REGKT Events

Organizer

Organizer: Program Ops

Ops: Session

Program ops.

Ahmed Nassar 🇪🇬

REGKT Events

Organizer

Organizer: Logistics

Ops: Session

Venue & AV.

Sara Oliveira 🇵🇹

ExplainIt

Engineer

Speaker: Lightning Track: Explainability Room: Room EX Feb 20, 2024 10:00 AM – 10:15 AM

Talk: Human-Readable ML Cards

Template & governance.

XAI interfaces.

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Hasan Ali 🇵🇰

ModelGrid

Engineer

Speaker: Lightning Track: Monitoring Room: Room MN Feb 20, 2024 10:20 AM – 10:35 AM

Talk: Signed Models, Safer Rollouts

Sign, attest, verify.

Registries & approvals.

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Dr. Dr. Karolina Zaj?c 🇵🇱

OpenEval

Judge

Judge: Responsible AI Awards Judge Feb 20, 2024 11:00 AM – 11:30 AM

Judging: Session

Independent awards judge.

LinkedIn

Elif Demir 🇹🇷

FairAI

Senior Scientist

Speaker Track: Explainability Room: Room EX Feb 19, 2024 7:15 AM – 7:45 AM

Talk: Explainability as Evidence

From heatmaps to proofs.

Auditable explainability.

LinkedIn

Hannah Lee 🇰🇷

HealthML

Head of Compliance

Panelist: Panelist Track: Panel Room: Main Hall Feb 19, 2024 10:00 AM – 10:45 AM

Panel: Responsible AI in Production

Documentation that passes audits.

Clinical compliance.

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Professional Impact & Significance

This event represents a platform where leaders, researchers, and practitioners exchange advancements that influence real-world technical, scientific, and organizational practices. The contributions and presentations delivered here reflect recognized expertise in the field and demonstrate active participation in advancing modern knowledge.

• Knowledge Dissemination: Presentations in this event contribute to broader understanding of emerging methodologies, frameworks, and applied innovations.
• Thought Leadership: Individuals delivering keynote sessions, panels, or workshop instruction play an important role in shaping direction and awareness in their area of specialization.
• Field Advancement: The work shared here introduces practices, models, or insights that can be adopted by other organizations, academic groups, or practitioners.
• Recognition by Community: Participation as a featured speaker, session chair, or event organizer highlights expertise acknowledged by independent professional bodies, institutions, or industry groups.
• Collaborative Development: The event facilitates interaction and shared problem-solving across domains, encouraging innovation through collaboration.

Participants are encouraged to archive discussions, slide decks, and session recordings as part of documenting their contributions, outcomes, and role in shaping the dialogue presented here.