• LEAI 701 – Foundations of AI: History and Development
• LEAI 740 – Machine Learning and Generative AI
• LEAI 750 – AI Ethics and Responsible Use
• LEAI 760 – Cybersecurity, Privacy, and AI Risk Management
• LEAI 770 – Leading Change through Digital Transformation and AI Innovation
• LEAI 780 – Applied Doctoral Research Seminar in Leadership and AI
• LEAI 790 – Capstone Project

• An earned terminal degree (Ph.D., Ed.D., D.Sc., D.B.A., D.Eng., D.C.S., or other appropriate doctorate) from an appropriately accredited institution.
• Graduate education, scholarship, research, and/or significant professional expertise related to the course or courses to be taught.
• Demonstrated knowledge of contemporary artificial intelligence and its application within organizations.
• The ability to teach and mentor students at the doctoral level in an academically rigorous and professionally relevant environment.
• The ability to teach effectively in online, hybrid, and intensive-residency formats.
• A commitment to supporting the mission and values of Anderson University.

• Significant professional experience implementing or leading artificial intelligence initiatives in business, government, healthcare, education, technology, cybersecurity, consulting, nonprofit organizations, or other sectors.
• Expertise in generative AI, large language models, machine learning, AI-enabled analytics, AI agents and workflows, predictive systems, or emerging AI technologies.
• Experience with enterprise AI implementation, digital transformation, technology strategy, organizational innovation, or AI-enabled decision-making.
• Expertise in AI governance, ethics, privacy, cybersecurity, regulatory compliance, responsible AI, or AI risk management.
• Graduate or doctoral-level teaching experience.
• Experience supervising dissertations, doctoral research, applied research, or executive-level capstone projects.
• Evidence of continuing engagement with the rapidly evolving AI field through scholarship, applied projects, consulting, industry leadership, professional certifications, professional development, or other substantive activities.

• Teaching doctoral courses in online and hybrid formats.
• Connecting current AI developments with leadership and organizational practice.
• Using case studies, applied projects, simulations, and contemporary organizational challenges.
• Mentoring doctoral students in applied research.
• Advising students as they translate research into organizational solutions.
• Participating, when appropriate, in the Responsible AI Leadership Capstone, through which students address significant workplace, organizational, industry, or societal challenges using responsible applications of artificial intelligence.

About our Commitment to Fairness in Employment

Anderson University does not unlawfully discriminate on the basis of race, color, national or ethnic origin, sex, disability, age, religion, genetic information, veteran or military status, or any other basis on which the University is prohibited from discrimination under the local, state, or federal law, in its employment or in the provision of its services, including but not limited to its programs and activities, admissions, educational policies, scholarship and loan programs, and athletic and other University-administered programs. As a Christian institution of higher education, Anderson University is entitled to certain religious accommodations under federal and state law, including Title IX of the Education Amendments Act and Title VII of the Civil Rights Act. For questions or concerns contact the Office of Human Resources at hr@andersonuniversity.edu.