Responsible AI Intern: Healthcare Ethics & Governance

Highmark Health Company; Austin (TX); On-site; USD 28,000 - 41,000; Part time

Job summary

Highmark Health invites undergraduates to join the Summer 2027 Responsible AI Undergraduate Internship in Austin, TX. The role provides hands-on exposure to AI, healthcare ethics, governance, and emerging technologies, supporting responsible innovation while safeguarding member trust and equity.

Interns will collaborate with Legal, Compliance, Risk, Audit, Technology, Data, and business units to translate Responsible AI principles into practical processes, policies, and controls.

Qualifications

• Full or part-time enrollment in an accredited college or university baccalaureate program.
• Pursuing a degree in Artificial Intelligence, Computer Science, Data Science, Information Systems, Business Analytics, Cybersecurity, Philosophy/Ethics, Public Policy, Legal Studies, Healthcare Administration.
• Interest in responsible AI, governance, ethics, and healthcare applications.

Responsibilities

• Conduct research on emerging AI regulations and industry practices.
• Assist in developing and maintaining Responsible AI policies and operational guidelines.
• Prepare governance and stakeholder materials and reports.
• Analyze AI risks and provide actionable recommendations.
• Collaborate with Legal, Compliance, Risk, Audit, Technology, Data, and business functions.
• Engage in mentorship and cross-functional project work.

Education

Artificial Intelligence

Computer Science

Data Science

Information Systems

Business Analytics

Cybersecurity

Philosophy/Ethics

Public Policy

Legal Studies

Healthcare Administration

Job description

Highmark Health invites undergraduates to join the Summer 2027 Responsible AI Undergraduate Internship in Austin, TX. The role provides hands-on exposure to AI, healthcare ethics, governance, and emerging technologies, supporting responsible innovation while safeguarding member trust and equity.

Interns will collaborate with Legal, Compliance, Risk, Audit, Technology, Data, and business units to translate Responsible AI principles into practical processes, policies, and controls.