U-M Research Center to Explore Ethics of AI

artificial intelligence

The need for ethics, standards and policies for the ever-increasing use of artificial intelligence and other emerging tech is the impetus behind a new research center at the University of Michigan. The Center for Ethics, Society and Computing (or ESC — "Escape" — for short) is "dedicated to intervening when digital media and computing technologies reproduce inequality, exclusion, corruption, deception, racism, or sexism," according to its mission statement.
 
"[AI] is a topic that used to be on the fringes but more recently has gotten broader attention as we have experienced many unintended consequences of technology," said center Associate Director Silvia Lindtner, assistant professor of information and art and design, in a statement. For instance, the increasing use of AI and data-based algorithms can lead to gender and racial stereotyping.

Beyond AI and data usage, the interdisciplinary center will also focus on issues of privacy, augmented and virtual reality, open data and identity. Current research projects include:

  • Embodisuit, wearable technology that allows the user to map Internet of Things signals onto different places on the body;
  • Big-DIG (Big Data, Innovation and Governance), working to "generate data-driven knowledge on innovation diffusion, impact and governance in the world-system";
  • The Ethics of Emotion Recognition, examining emotion recognition algorithms and emotional data;
  • Culturally Situated Design Tools for helping students learn STEM principles and eliminating misconceptions about race and gender in STEM; and
  • Auditing Algorithms, research into making the consequences of algorithm biases visible from the outside.

For more information, visit the ESC site.

About the Author

Rhea Kelly is editor in chief for Campus Technology, THE Journal, and Spaces4Learning. She can be reached at [email protected].

Featured

  • Hand holding a glowing AI sphere

    Beyond the Hype: 5 Actionable Steps for Higher Ed to Master AI in 2026

    AI has arrived as a powerful, pervasive reality, bringing with it a whirlwind of innovation, new tools, and pressing questions. Here are five practical steps to help your institution navigate this rapidly evolving landscape and accelerate its path to real transformation.

  • glowing brain above stacked coins

    The Higher Ed Playbook for AI Affordability

    Fulfilling the promise of AI in higher education does not require massive budgets or radical reinvention. By leveraging existing infrastructure, embracing edge and localized AI, collaborating across institutions, and embedding AI thoughtfully across the enterprise, universities can move from experimentation to impact.

  • abstract networking lines with AI text on top

    WWT, NVIDIA Introduce Framework for Secure, Scalable, Responsible AI Adoption

    Technology services provider World Wide Technology and NVIDIA have jointly developed an AI security framework dubbed AI Readiness Model for Operational Resilience (ARMOR), designed to help organizations accelerate AI adoption while maintaining security, compliance, and operational resilience.

  • Businessman holding Chatbot with binary code, message and data 3d rendering

    Anthropic Criticizes OpenAI Ad Strategy

    Anthropic recently launched a multi-million dollar Super Bowl advertising campaign criticizing OpenAI's decision to start showing ads within ChatGPT.