Members – Ethical AI

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AI ETHICS AND GOVERNANCE Ethical AI

Ethical AI

Public Education

Active 5 months ago

Purpose: To address the ethical challenges of developing and deploying AI in healthcare,... View more

Public Education

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Group Description

Purpose: To address the ethical challenges of developing and deploying AI in healthcare, ensuring fairness, transparency, and accountability.

Description: This subgroup is dedicated to exploring ethical frameworks and best practices for creating responsible AI systems that minimize harm and bias while maximizing benefits.

Intended Use:
– Discussing strategies to identify and mitigate bias in healthcare AI algorithms
– Exploring explainability and transparency in AI decision-making
– Developing ethical guidelines for deploying AI in clinical settings

Limitations:
– Not for discussing technical implementation details unrelated to ethics
– Not for regulatory compliance discussions (covered in a separate subgroup)

Key Activities:
– Reviewing case studies of biased outcomes in healthcare AI
– Discussing frameworks like “AI ethics principles” from organizations such as WHO or IEEE
– Exploring how to ensure fairness across diverse populations using AI

Potential Users:
– Policymakers
– Patient Advocates
– Researchers
– Clinicians (interested in ethical implications)
– Data Scientists

Possible Discussions:
– “Addressing racial bias in predictive analytics tools used in emergency care”
– “How to make black-box AI models explainable to clinicians and patients”

– “The role of ethical review boards in approving healthcare AI systems”

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