AU Position Statement on Artificial Intelligence


Responsible AI for Student Success, Academic Quality, and Workforce Readiness 

Aspen Group, Inc., Aspen University (hereafter the organization) believes artificial intelligence can be a powerful tool for expanding access, improving learning, strengthening student support, increasing institutional effectiveness, and preparing graduates for an AI-enabled workforce. 

Our position is clear: AI should serve people, advance academic quality, improve student outcomes, and operate within a framework of trust, transparency, human judgment, and responsible governance. 

AI is not a replacement for faculty, advisors, staff, academic leaders, or student effort. It is a capability that, when used thoughtfully and responsibly, can help people do their best work. At the organization, we will use AI to support our mission of delivering affordable, relevant, accessible, and student-centered education. We will pursue AI innovation in ways that strengthen the student experience, improve academic and operational effectiveness, and preserve the human relationships that are central to teaching, learning, advising, and student care. 

Our approach is guided by the following commitments. 

  1. Student Success Comes First

The organization will prioritize AI applications that help students learn, persist, progress, and complete their educational goals. This includes opportunities to provide more timely communication, proactive advising, earlier identification of students who may need support, improved access to resources, and more personalized pathways to academic and professional success. 

AI should help us better understand student needs and respond with greater speed, consistency, and care. Our goal is not simply to automate processes; it is to improve the quality, timeliness, and effectiveness of the support students receive. 

  1. Human Judgment Remains Essential

AI may assist with analysis, recommendations, communication, workflow automation, and decision support, but people remain accountable for the educational experience. Faculty, advisors, staff, and academic leaders will continue to play the central role in teaching, mentoring, supporting, assessing, and guiding students. 

AI should not serve as the sole basis for decisions that materially affect a student’s academic standing, progression, financial status, enrollment status, access to university services, disability accommodations, student conduct outcomes, or other significant educational interests. When AI is used to support important processes, appropriate human review, escalation, and accountability must remain in place. 

  1. Academic Integrity and AI Literacy Matter

AI is changing how people learn, work, communicate, analyze information, and solve problems. The organization has a responsibility to help students use AI ethically, responsibly, and effectively. 

Students may use AI to support learning, research, writing, analysis, creativity, problem solving, and professional preparation when such use is permitted by course expectations, faculty guidance, and university policy. However, students remain responsible for the originality, accuracy, attribution, and integrity of the work they submit. 

Faculty retain authority to define appropriate AI use within courses and assessments, consistent with academic policy, program outcomes, accreditation expectations, and the learning goals of each course. Our objective is not only to prevent misuse, but also to prepare students to evaluate AI outputs critically, disclose AI use appropriately, understand AI limitations, and apply AI responsibly in professional settings. 

  1. Faculty and Staff Should Be Empowered, Not Displaced

The organization will approach AI to strengthen the work of faculty and staff, not diminish their importance. AI should reduce unnecessary administrative burden, improve access to useful information, streamline routine tasks, and create more time for high-value human interaction. 

For faculty, AI may support course development, feedback processes, learning analytics, content review, student engagement, and instructional innovation. For advisors and staff, AI may support timely outreach, workflow management, student service, compliance monitoring, and operational consistency. In all cases, the purpose is to help our people serve students more effectively. 

  1. Trust, Privacy, Security, and Fairness Are Foundational

AI tools that use institutional, employee, or student information must be evaluated carefully. The organization will consider privacy, cybersecurity, accessibility, fairness, compliance, transparency, data quality, vendor practices, and potential unintended consequences when adopting and using AI-enabled systems. 

We recognize that AI systems can produce errors, reinforce bias, or create inequitable outcomes if they are not responsibly designed, implemented, and monitored. We will therefore seek to use AI in ways that are explainable where appropriate, reviewable by humans, and aligned with our obligations to students, employees, regulators, accreditors, and other stakeholders. 

Students, faculty, and staff should have clear pathways to ask questions, seek human assistance, request correction, and escalate concerns when AI-enabled tools are used in university processes. 

  1. AI Adoption Must Be Governed, Purposeful, and Measurable

The organization will not adopt AI for novelty alone. AI initiatives should be connected to institutional mission, academic quality, student success, affordability, access, compliance, workforce relevance, or operational effectiveness. 

AI use cases should be evaluated through appropriate governance and cross-functional review. This includes consideration of academic impact, student impact, privacy, cybersecurity, accessibility, compliance, legal and regulatory expectations, data governance, operational value, and potential risk. 

Where appropriate, AI initiatives should be piloted, assessed, refined, and scaled based on evidence. We will seek to measure whether AI-enabled activities improve meaningful outcomes such as student responsiveness, persistence, completion, learning support, service quality, efficiency, accuracy, and user experience. 

  1. Responsible Innovation Requires Public Accountability

As part of a publicly traded education entity, the organization recognizes the importance of disciplined, accurate, and supportable communication about AI. We will seek to describe our AI activities responsibly and avoid overstating capabilities, outcomes, or future impact. 

Public communications about the organization’s use of AI should be consistent with institutional policy, applicable regulatory expectations, contractual obligations, accreditation considerations, and disclosure responsibilities. Our approach to AI will be ambitious, but it will also be evidence-based, measured, and accountable. 

  1. We Will Prepare Our Community for an AI-Enabled Future

AI literacy is becoming an essential part of career readiness, institutional effectiveness, and responsible citizenship. The organization will support students, faculty, staff, and leaders in developing practical understanding of AI tools, ethical use, data quality, critical evaluation, privacy, bias, limitations, and role-specific applications. 

Our students should be prepared not only to use AI tools, but also to question them, manage them, improve workflows with them, and understand their implications in the workplace. Our faculty and staff should be supported in using AI responsibly to enhance teaching, learning, advising, service, and institutional performance. 

Our Commitment 

Artificial intelligence will continue to evolve, and so will our approach. The organization intends to be a responsible, evidence-based adopter and educator in the use of AI. We will pursue innovation with curiosity, discipline, and care. 

Our goal is to apply AI in ways that honor our mission, support our people, improve student outcomes, strengthen academic quality, and help every student we serve move closer to achieving their educational and professional goals. 

At the organization, responsible AI is not about replacing the human dimensions of education. It is about using technology wisely to make education more accessible, more responsive, more effective, and more relevant to the future our students are preparing to enter.