AI in Healthcare: Clinical Judgement, Governance & Accountability presented by TAG Data Science & AI Society

Description

Join us for a timely conversation on AI in Healthcare: Clinical Judgement, Governance & Accountability as clinicians, behavioral health professionals, technology leaders, developers, and AI practitioners explore a critical question: as AI increasingly influences clinical decisions, assessments, and care recommendations, who should have the final say—and who is accountable when things go wrong?

Connect with with members of Atlanta’s business, technology, and healthcare communities to explore the real-world challenges of integrating AI into healthcare while balancing innovation with clinical judgment, patient safety, and meaningful human oversight.

Discover how healthcare organizations can build trust in AI, address bias, ensure equitable outcomes, and establish clear accountability and responsible governance—while harnessing AI’s potential to enhance clinical decision-making and behavioral healthcare.

	Shalmali Joshi Senior Advanced Analytics Analyst, Elevance Health
	Anand Saokar Head - Omnichannel, Patient Provider Employee Experience, Consumer Analytics & AI Data Platform, Wellstar Health System
	Ketki Savle Sr AI/ML Engineer, Optum
	Melissa Sousa Corporate Director of Data & AI Strategy, Emory Healthcare

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