Iliff Artificial Intelligence
Institute

Building a sustainable future for humans and machines

Banner image generated by a deep convolutional generative adversarial network.

Gatherings

ai.iliff hosts unique hybrid gatherings to foster dialog and action toward a more sustainable future for humans and machines. We bring together scholars, activists, and industry leaders to collaboratively and creatively imagine these futures. 

Race, Surveillance, and Technologies of Resistance (Nov 2020)

Iliff Renewal Conference: AI Day (Feb 2020)

ai.iliff Tech Series (2019)

Projects

ai.iliff has several ongoing projects exploring the sustainable ongoing partnership between humans and machines to build a values based future. From inviting machines to be learning partners in online learning spaces to creating more robust facial recognition benchmark practices, ai.iliff is committed to participating in the building of more responsible AI.

80/20 Dataset 

EMBEDDED EaaS

Built on our TRUST framework, Embedded Ethics as a Service allows ai.iliff to partner with companies and organizations to embed ethical practices into the full lifecycle on AI product development and use. We provide consultation and implementation in the areas of hiring practices, bias management, ethics training, ethics committee management, and regulatory compliance.

Educational Opportunities

Much of the hype and fear around the emergence of AI in so many areas of society can be addressed through education. We design and deliver custom learning opportunities in areas related to AI and Society, Data Citizenship, and Human-AI interface. We can provide online, hybrid, or on site learning opportunities.

Core Team

Alires J. Almon

Partner Director

Alires has a deep passion for the opportunities created by advanced science and technology. She feels it is important to ensure that the social and cultural impacts of technology are addressed as equally as the technical advancements themselves. Along with her work at ai.iliff, Alires is the Director of Innovation for the Mental Health Center of Denver and founder of Deep Space Predictive Research Group, LLC.

Michael P. Hemenway

Partner Director

For two decades, Michael has been helping organizations build more sustainable partnerships with technologies. Whether systems integrations, database administration, solutions architecture, or instructional design, Michael enjoys the complex sociotechnical dynamics at play as we learn to work with people and machines in more collaborative ways. Michael’s primary research interests include transparent computing, human-computer interface, and what humans can learn from how machines think.

Philip Reed-Butler

AI Researcher

Philip Butler is Term Assistant Professor of Theology and Black Posthuman Artificial Intelligent Systems at Iliff School of Theology. He is an interdisciplinary scholar in neuroscience, technology, spirituality and Blackness. He is the author of Black Transhuman Liberation Theology, and the editor of the forthcoming volume Critical Black Futures. Philip is also the founder of the Seekr Project, a distinctly Black AI with mental health capabilities.

Justin O. Barber

AI Engineer

Justin began researching artificial intelligence and machine learning while he was completing a doctorate in the humanities. His areas of research include autonomous learning systems, language generation, natural language processing, and deep learning. He is particularly interested in how technology continues to transform the way human beings live, learn, and understand the world.

Theodore Vial

Senior Researcher

Ted began using machine learning in his research a couple of years ago. He fell in love with the questions AI raises about what it means to be human, and is eager to bring the resources of philosophy and theology to the development of technology in ways that make the technology better and build a future in which humans and machines flourish together.

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