Here’s what we offer and how you can be part
Research
The research goals of the AIMES Lab are:
Identify workflows and key use cases within media and communications organizations that can benefit from the careful, structured use of generative AI technologies.
Explore the uses of generative AI on social platforms, in order to anticipate emerging platform governance and ethics questions.
Examine how news media organizations and journalists may deploy AI in workflows and establish corresponding governance practices.
Leverage ongoing surveys to assess how people understand AI in media and their value preferences.
Recommendations
The AIMES Lab translates research into real-world guidance by:
Educating media and communications workers in new areas of competency such as prompt engineering and AI-powered workflows.
Advise on responsible AI adoption, with attention to ethics, governance, and institutional trust.
Produce practical toolkits and frameworks to guide AI-related decision-making and support the development of organizational policies that reflect values-driven AI use.
Engages directly with partners to evaluate AI tools and workflows based on evidence, not hype.
Teaching - JRNL 6460: AI in Media Industries
In spring 2025, Prof. Wihbey and his students participated in a new graduate seminar, “AI in Media Industries” (JRNL 6460). A parallel undergraduate course will be offered in fall 2025.
Service learning
Through Northeastern’s Service-Learning program, the course is partnering with a variety of local NGOs to help prototype AI-related media and communications workflows and applications. Students serve as AI-media advisors to clients interested in exploring new tools and products.
Guest Lectures
The course also hosts guest lecturers from relevant industries, including from Meta’s AI policy team, Weber Shandwick Futures, Amazon, and the New York Times.
Partnerships
The course participated in a pilot program as part of a new partnership between Northeastern and leading AI company Anthropic.
Broad Focus
Areas of broader focus in the course include use cases in public relations, strategic communications, social media management, and news investigative reporting. The course integrates ethics discussions throughout the module sequence, focusing on various topics in the emerging field of responsible AI.
Learning
We stay close to the field, listening to practitioners, engaging across regions, and adjusting our understanding as technologies and contexts evolve.
Learning from the Field
Learning Across Contexts
Learning Through Collaboration
Learning in Public
Learning from the Field
We engage with professionals in media, communication, technology, and advocacy to understand how AI tools are being used in real-world settings.
Learning Through Collaboration
Our partnerships with organizations, institutions, and platforms are not one-way. They surface shared questions, and shape more relevant, grounded research.
Learning Across Contexts
We take a global view, paying attention to how regional, cultural, and political differences shape the use and perception of AI in media systems.
Learning in Public
We believe in transparency and iterative learning. By sharing early insights and participating in open dialogue, we build a feedback loop between researchers, practitioners, and the public.
Here's how you can take part
Get Involved
Reach us: j.wihbey@northeastern.edu



