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Explore the ACBSP AI Padlet: A Collaborative Resource for Educators
As artificial intelligence reshapes the landscape of business education, ACBSP is committed to supporting faculty as they adapt and lead through this transformation. The ACBSP AI Padlet is a curated, collaborative platform designed to help educators share resources, insights, and best practices. Whether you're just beginning to explore AI or are already integrating it into your courses, the Padlet offers sortable content by experience level, thoughtful commentary from fellow educators, and a self-assessment tool to help you identify your starting point. It's a living resource built by and for the ACBSP community.
You can play a direct role in expanding this shared resource. By signing up using ACBSP's referral link, you help us unlock the ability to create additional Padlets tailored to specific AI use cases and disciplines. Following the ACBSP AI Padlet also ensures you're notified as new articles and resources are added, keeping you at the forefront of ongoing conversations around teaching and technology. Your participation helps build a stronger, more informed network of educators navigating AI together.
ACBSP Guidance for Prudent and Ethical Use of AI in Business Education
Empowering Ethical Innovation in Business Education
Artificial Intelligence (AI) is transforming the landscape of business education,redefining how students learn, how faculty teach, and how institutions operate. As AI capabilities rapidly evolve, the Accreditation Council for Business Schools and Programs (ACBSP) embraces the opportunity to lead with foresight, responsibility, and integrity. These living, guiding principles reflect ACBSP's commitment to leveraging AI to advance high-quality, student-focused business education while safeguarding academic integrity, equity, and ethical responsibility.
1. Human-Centric Teaching and Learning
AI should enhance, never replace, the essential role of faculty, who remain central to curriculum design, instruction, assessment, student advisement, mentorship, and other core responsibilities. AI can help enhance education, but it is the human qualities of faculty, such as emotional intelligence, ethical judgment, empathy, creativity, original thinking, real-world experience, and meaningful connection, that truly inform meaningful learning experiences.
2. Integrity, Ethics, and Academic Honesty
Institutions are encouraged to implement AI systems and tools in ways that uphold and ensure academic integrity, foster ethical behavior, and reinforce a culture of original thinking and responsible student and faculty conduct.
3. Transparency and Disclosure
The use of AI in the classroom and across the institution must be clearly disclosed by and to students, faculty, and stakeholders. Transparency fosters trust and ensures that all parties understand when and how AI tools are applied in teaching, learning, grading, mentoring, advising, or other educational processes and services.
4. Access and Fairness Across Learning Environments
AI technologies used in business education should be actively evaluated for accessibility and fairness. Institutions must minimize algorithmic bias and ensure equitable access and representation in AI-driven learning environments.
5. Data Privacy and Security
Student data, institutional records, and proprietary content must be protected with the highest standards of data privacy and cybersecurity. AI tools must comply with institutional policies and applicable data protection regulations (e.g., FERPA [USA], GDPR [EU], PIPEDA [Canada]).
6. AI Literacy and Competency Development
Business programs are encouraged to foster AI literacy among faculty, staff, and students to improve student success outcomes, strengthen academic quality, drive innovation, and build workforce readiness through the thoughtful integration of AI into curricula and professional development.
7. Evaluation and Continuous Quality Improvement
As institutions consider the adoption of AI tools, systematic evaluation and ongoing review can help ensure these technologies align with ethical practices, institutional goals, student success outcomes, and external standards. When appropriate, documenting outcomes may support continuous improvement and ACBSP accreditation reporting.
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