Course Developer and Instructor- Ethics and Responsible AI (AI Program)

Kaplan has partnered with Wake Forest University in their mission to develop a new kind of leader through their fully online degree
programs. At Wake Forest, students gain a rare and valuable blend of leadership, technical, and practical industry expertise that empowers
them to advance their career, organization—and the world around them. Wake Forest’s curricula are constantly evolving to reflect
the most up-to-date market trends. And their programs are designed by both faculty experts and thought leaders in the field, providing the
highest quality education possible.

Wake Forest created the School of Professional Studies to help working professionals rise to
the challenge by building the skills and credentials needed to thrive in a fast-transforming global marketplace. The graduate programs are
aligned to market demand, informed by the economy, and designed to address the critical need for strategic leaders who can help businesses
adapt, grow, and excel in promising new ways.

Course Description: ​Ethics and
Responsible AI(AI Program) 

Wake Forest University School of Professional Studies is seeking
highly qualified candidates to develop and teach the ​Ethics and Responsible AI course in
the online Master of AI program. The ideal candidate is a professional who understands the theory and practice of ​ethical and
responsible AI, along with recent trends and innovations in the industry.

​This course will introduce students to the key
areas of consideration when deploying products that contain AI. Students will discuss the social, political, and economic effects that AI
may have on society – today and in the future. It will cover developing an understanding of public concerns with AI, including economic,
equity, and human rights. Students will study diverse ethical issues that arise with the widespread and rapid integration of AI
technologies. This course will also include the tools and frameworks for ensuring ethical AI practices to mitigate AI bias (examples
include: AI Fairness 360, Explainable AI Frameworks, etc.). Students will also explore how prompt engineering can influence the fairness and
transparency of LLMs, experimenting with prompts to understand and mitigate bias in outputs.

Students meet face-to-face in a virtual
classroom environment weekly over an academic term, providing them the opportunity to reinforce coursework materials, apply academic
concepts, and participate in focused discussions with faculty and colleagues.

Faculty Qualifications:

• Master’s degree in program field or related degree. Terminal degree preferred
• 3+ years of experience in
  university-level teaching. Preferred applicants also will have a demonstrated ability to deliver graduate-level, online
  course experiences that are valued by industry. With the targeted audience for this program being adult students pursuing career growth, the
  University seeks to hire colleagues who are highly skilled in and/or highly attuned to adult learning best practices.
• 5+
  years industry experience.  Preference will be given to applicants with a demonstrated commitment to
  inclusive excellence and an ability to integrate ethical concepts and broad understandings of diversity.

 Application packet must include:

• A cover letter that addresses the candidate’s
  interest in the position, as well as a summary of relevant academic, professional and teaching experiences

• Current curriculum vitae/resume

  
  

• Sample of recent course evaluation results, preferably for
  graduate-level, online courses

Compensation for developing a 3.0 credit course= $10,000

Compensation for
teaching a 3.0 credit course= $5,000

Interested candidates, please submit your complete application packet to [email protected]