As AI enters our world, it is important to commit to transparency and accountability. To this end, the D'Amore-McKim School of Business charged an AI working group comprised of students, faculty, and staff to collaborate with the Dean's Office to develop a statement on shared commitment. 

Our Shared Commitment 

At the D'Amore-McKim School of Business, we embrace the 2025-26 academic year as a year of participative, collective learning about how to use AI in the classroom. We are working together to explore whether, when, and how to use AI throughout our curriculum, centering on human insight, creativity, and strategic judgment while ensuring all parties have a voice in shaping our path forward. The application of the core principles below will enable our graduates to be truly future-ready leaders.  

Core Principles 

DMSB students, faculty, and staff believe… 

  • AI is for enhancement, not replacement.  AI should amplify human potential and creativity. We focus on how to critically evaluate input, refine AI output, and apply knowledge to create and lead with meaningful business and societal impact across borders.  
  • Critical thinking is key.  We are encouraging students to think holistically before prompting and questioning AI-generated output. This includes conscious decisions not to use AI. In applying AI to exploration, prototyping, and problem-solving, we maintain intellectual integrity and accept ownership and responsibility for work products.  
  • AI can enhance workforce and global readiness.  We provide a foundational approach to AI literacy that prepares students for technology's transformative impact on business and society.  Students have the opportunity to develop skills such as workflow automation, strategic decision-making, and global collaboration. We link essential human and data literacy to comprehensive AI literacy, ensuring graduates can both use and critically evaluate AI tools in making informed decisions. 
  • A collaborative learning environment is crucial. We foster a supportive environment where faculty and students learn together, with all stakeholders having a voice in our AI integration journey.  
  • It is paramount to preserve and elevate academic rigor.  We design assessments that require students to add value beyond AI capabilities, emphasizing synthesis, creative application, and meta-cognition concerning both AI and their own human contribution. 
  • We must model transparency and ethics in implementing AI. We maintain clear communication about when and how AI is used in academic and professional work. We prepare future business leaders to use AI ethically and strategically while addressing universal challenges, including climate change, sustainability, and health.  
  • The right process includes continuous evolution for future-readiness.  We commit to ongoing adaptation as AI capabilities and risks evolve, regularly updating our principles and practices based on emerging technologies and educational best practices. 

Shared Responsibilities 

Students commit to:  

  • Developing AI literacy focused on critical thinking and strategic decision-making 
  • Using AI ethically and transparently while maintaining originality and academic integrity 
  • Producing work that demonstrates critical thinking and adds value beyond AI output 
  • Following assignment guidelines for AI use disclosure and seeking guidance when uncertain 
  • Protecting faculty and student intellectual property and not uploading the property of others to internet sources or LLMs 
  • Understanding that the use of AI provides great privileges, but also requires great responsibility  

Faculty commit to: 

  • Providing clear expectations for AI use in syllabi and assignments 
  • Modeling responsible and transparent AI engagement and critical evaluation practices 
  • Designing assessments that preserve academic rigor, ranging from “no AI allowed” (like handwritten blue book exams) to those that embrace beneficial AI applications (e.g., assignments that build heavily on AI collaboration) 
  • Staying informed about data privacy requirements and approved institutional tools 
  • Protecting faculty and student intellectual property and not uploading others' property to internet sources or LLMs 
  • Understanding that the use of AI provides great privileges, but also requires great responsibility 

Staff commit to: 

  • Supporting comprehensive AI literacy development across our community 
  • Ensuring equitable access to AI tools and educational resources 
  • Providing ongoing training and professional development opportunities 
  • Maintaining institutional policies that reflect evolving best practices 
  • Understanding that the use of AI provides great privileges, but also requires great responsibility 

Implementation Support Framework 

Our approach to AI integration in the classroom relies on a collaborative, conversational process where all parties can communicate freely and provide feedback aimed at improving the use of AI as a tool in the business education that the D'Amore-McKim School of Business provides. To this end, a set of clear guidelines that distinguish between no AI use, AI for planning and research, AI collaboration with critical evaluation, extensive AI use with strategic direction, and creative AI exploration will be employed.  

We acknowledge support systems, including professional development through the Center for Advanced Teaching and Learning Through Research (CATLR) and the D'Amore-McKim AI Strategic Hub (DASH) Working Group for faculty, student resources through the Writing Center and Peer Tutoring, and student organizations like AI NU. We commit to regular bi-annual policy review and adaptation as AI capabilities evolve. All of these resources can be found in the Teaching with AI for Business module for faculty and linked on the DASH website. 

Our Vision Forward 

We embrace AI not as a threat to education, but as a catalyst for transformative learning and innovation, when used in alignment with our core principles and set of shared responsibilities for students, faculty, and staff. By working together, we create an environment where the right conditions emerge for the integration of human and artificial intelligence that will prepare graduates who are AI-literate, ethically grounded, and strategically equipped to tackle big problems in our rapidly evolving world. 

This mutual understanding reflects our collective commitment to responsible AI integration into our curriculum that amplifies human potential, fosters curiosity and collaboration, and develops the critical thinking skills essential for tomorrow's business leaders. 

// 

This statement will be reviewed and updated regularly to reflect evolving technology and educational best practices. Last updated September 9, 2025.

// 

AI Working Group Members:

Daniele Mathras (Marketing, Associate Dean of Undergraduate Education) 

Kate Karniouchina (Marketing, DMSB Faculty Director in Oakland) 

Loredana Padurean (Entrepreneurship & Innovation) 

Mauricio Codesso (Accounting) 

Joseph Henry (Finance) 

Barbara Larson (Management & Organizational Development) 

Elitsa R. Banalieva (International Business & Strategy) 

Kjirsten Seiler (DMSB Undergraduate Advising) 

Christoph Riedl (Supply Chain & Information Management) 

Kwong Chan (Marketing, Executive Director of the DMSB AI Strategic Hub) 

Aarzu J. Choudhary (DMSB undergraduate student) 

Jen Guillemin (DMSB Co-op) 

Shourya Yadav (DMSB undergraduate student) 

Dunton Family Dean:

David De Cremer