Can AI help us solve the crisis of care? Can a chatbot care about a person? What are the limits of technology to find solutions to problems related to care? As part of UConn's Human-Centered AI Initiative, we've brought together a roundtable of scholars from Connecticut to Morocco define “care” within their discipline and discuss what care means when over 30% of AI users turn to their chatbots for therapy or companionship.

UConn Humanities Institute and professor of English, Director Anna Mae Duane leads a conversation about AI and care, featuring Ihsane Hmamouchi, MD PhD, professor of Clinial Epidemiology, Université Internationale de Rabat and Michael Lynch, Board of Trustees Distinguished Professor of Philosophy, University of Connecticut.

Learn more about “Reading Between the Lines,” the collaboration between UConn and UIR that produced this podcast.

Michael Lynch (UConn) delivers his talk, “AI, Rights, and Epistemic Agency” at the What Are We Talking About When We Talk About AI? Symposium. October 9, 2025 at the University of Connecticut Humanities Institute.

In this episode, Michael Lynch presents the philosophical tensions between what has been understood as human rights and agency and how artificial intelligence complicates that relationship. Humans possess an unbelievably powerful capacity to make life plans, engage in projects, and make decisions that serve as the foundation for human rights and agency. For Lynch, the question of how the social integration of these chatbots will impact humans’ epistemic agency is the most pressing when it comes to the rapid expansion of AI usage in the contemporary moment. This epistemic agency is our capacity to know about the world, and that capacity becomes infinitely more complex with chatbots when they move out of the realm of tool used to extend that epistemic agency. As generative AI and chatbots continue to become more widely used, a delicate balance will have to be struck between the desire to know more and the subsequent tradeoff of losing understanding.

Prefer to watch? Check out this episode on YouTube: https://youtu.be/Pg71vDhPajU

Learn more about “Reading Between the Lines,” the collaboration between UConn and UIR that produced this podcast.

John Murphy (UConn) delivers his talk, “The Coming AI Rights Revolution” at the What Are We Talking About When We Talk About AI? Symposium. October 9, 2025 at the University of Connecticut Humanities Institute.

In this episode, John Murphy explores the possibilities of what it will mean for humans to be able to merge the analog and digital world in the age of artificial intelligence. He structures his analysis around the “three pillars of civilization” or human rights, property rights, and labor rights, to reflect on how the current analog world is struggling to keep up with the digital world in ways that will directly impact what it means and will mean to be a human. For Murphy, the growth in AI has forced us to push the limits of what it means to be a human and what the legal rights of humanity, property, and labor will look like in an increasingly digital world. Moreover, the question of who will control these technologies and what kind of guardrails will be put in place to regulate them in the future looms as a pressing challenge within the legal realm. However, this caution can be met with a glimmer of hope that current students themselves already understand the consequences of too large an investment in AI.

Prefer to watch? Check out this episode on YouTube: https://youtu.be/Cy4ruy3mO5Q

Learn more about “Reading Between the Lines,” the collaboration between UConn and UIR that produced this podcast.

Avijit Ghosh delivers his talk, “Our Rights in an AI Infused Society,” at the What Are We Talking About When We Talk About AI? Symposium. October 9, 2025 at the University of Connecticut Humanities Institute.

In this episode, Avijit Ghosh examines how artificial intelligence has transformed human rights to the point where it’s increasingly being used to allocate goods and resources, such as deciding who gets matched to certain jobs. AI has fundamentally changed social and economic relationships between people and companies with governmental regulation slow to respond. These rapid technological changes have also resulted in complications regarding data access wherein people’s intellectual property rights are left vulnerable to a company’s unregulated licensing practices. In other words, the absence of regulation in AI has allowed companies to make their own rules when it comes to licensing, often to the detriment of people and rife with bias. For Ghosh, technological development can be done properly if the sole focus is not chasing profit. The future of data access and the role of the human within represents a delicate balance that will continue to be reconfigured as technological progress abounds.

Prefer to watch? Check out this episode on YouTube: https://youtu.be/dfZ2iUTdsH0

Learn more about “Reading Between the Lines,” the collaboration between UConn and UIR that produced this podcast.

Meriem Regragui (Université Internationale de Rabat) delivers her talk, “How Will AI Transform Labour Rights?” at the What Are We Talking About When We Talk About AI? Symposium. October 9, 2025 at the University of Connecticut Humanities Institute.

In this episode, Meriem Regragui outlines the increasingly complicated relationship between AI and labor rights, particularly around how laws should be enacted to protect workers and their rights to dignity, privacy, and fair treatment. This issue is not only local, but also international in a way that forces a reconfiguration of employability, social protection, and redistribution. The revaluing of labor has thus become foundational to understanding the role of AI within broader conversations of labor rights. For Regragui, one of the most pressing issues for the future will be to clarify from a legal perspective what an equitable right to work will look like in the AI era. The human being must ultimately be at the center of these discussions.  

Prefer to watch? Check out this episode on YouTube: https://youtu.be/9uI7J22iySU

Learn more about “Reading Between the Lines,” the collaboration between UConn and UIR that produced this podcast.

Hakim Hafidi (Université Internationale de Rabat) delivers his talk, “AI Literacy in the Age of Synthetic Content” at the What Are We Talking About When We Talk About AI? Symposium. October 9, 2025 at the University of Connecticut Humanities Institute.

Hakim Hafidi analyzes the growing capabilities of autonomous agents within the realm of content creation and dissemination online and how to understand human interactions with this content. The expansion of this “synthetic content” has complicated larger questions about how human users can decipher what’s “real” or the “truth” and how that influences their engagement with generated content. Hafidi refers to these AI-agents as “LLM brains” that possess the capability to reason, generate, collaborate, and share information at rates much faster and more prolific than a human can. However, this boom in synthetic content is not without a litany of problems including the ability to differentiate the real from the fake, the importance of reality-based community connections, and the intent of the companies behind AI content.

Prefer to watch? Check out this episode on YouTube: https://youtu.be/9uI7J22iySU

Learn more about “Reading Between the Lines,” the collaboration between UConn and UIR that produced this podcast.

Ting-an Lin (UConn) delivers her talk, “Rethinking ‘AI Literacy’: Towards a Sociotechnical Conception” at the What Are We Talking About When We Talk About AI? Symposium. October 9, 2025 at the University of Connecticut Humanities Institute.

Ting-an Lin outlines how she defines AI literacy through a socio-technical perspective which prioritizes a people-focused vision of AI as opposed to a tech-focused one. The socio-technical perspective emphasizes the material context in which AI exists and operates. In other words, an AI literacy that only prioritizes those in “Big Tech” will lose sight of the material conditions in which natural resources, human labor, and data are extracted. For Lin, understanding those conditions is intertwined with breaking down the global divide over AI and expanding the ability of the technology outside of the elite and powerful. The dangers of technological determinism cannot be understated, especially amid the AI boom.

Prefer to watch? Check out this episode on YouTube: https://youtu.be/kqiUm5_45y0

Learn more about “Reading Between the Lines,” the collaboration between UConn and UIR that produced this podcast.

Arash Zaghi (UConn) delivers his talk, “The New Luddism: AI Fearmongering as a Modern Mechanism of Oppression” at the What Are We Talking About When We Talk About AI? Symposium. October 9, 2025 at the University of Connecticut Humanities Institute.

Arash Zaghi examines how fearmongering from elite institutions has become weaponized against disadvantaged populations who could benefit from generative AI. While Zaghi cautions us that artificial intelligence itself is not absolved of any biases, he stresses the importance of being able to use this tech for the right now and beyond. Anxiety over artificial intelligence leads to lower usage and lower rates of adoption, ultimately leading to a widening gap between the haves and the have-nots. According to Zaghi, technopanic is a form of gatekeeping, operating as a functional form of oppression to curb access for less powerful groups.

Prefer to watch? Check out this episode on YouTube: https://youtu.be/xfYHuSRAaxs

Learn more about “Reading Between the Lines,” the collaboration between UConn and UIR that produced this podcast.

Anke Finger (UConn) delivers her talk, “AI Literacy” at the What Are We Talking About When We Talk About AI? Symposium. October 9, 2025 at the University of Connecticut Humanities Institute.

Anke Finger outlines three projects she’s currently working on that engage with understanding artificial intelligence within the realm of media studies, literary studies, and cultural studies. She emphasizes the importance of communication as the driving mechanism for being able to communicate our own humanity in an increasingly data-driven, quantitative world. Being able to critically engage with generative AI and recognize its long-term cultural significance will be crucial for humanity as a whole moving forward. However, this need for intercultural communication is not without a focus on critique and an obligation to broader public safety and cybersecurity. As Finger reminds us, we have been collaborators and co-authors for artificial intelligence, and we always will be.

Prefer to watch? Check out this episode on YouTube: https://youtu.be/NnXFgxF_Eb8

Learn more about “Reading Between the Lines,” the collaboration between UConn and UIR that produced this podcast.

Ouassim Karrakchou (Université Internationale de Rabat, Deputy Director, TICLab) presents his paper, ”Research Focus: AI and its applications,” at the What Are We Talking About When We Talk About AI? Symposium. October 9, 2025 at the University of Connecticut Humanities Institute.

In this episode, Ouassim Karrakchou walks us through the research on AI applications in the health sector currently being done by the TIC Lab at the International University of Rabat. The lab's research has revealed how using low resource AI models will ultimately be beneficial to the healthcare sector, specifically in precise detectability and explainability for the patient. In addition to cancer detection through 3D imaging, the lab is also working on respiratory disease monitoring and management. By using smart technology and AI, physicians can pinpoint the causes of some of the most severe asthma-related hospitalizations and effectively distill that information to the patient. This method of detection and diagnosis is the bedrock of the future of healthcare.

Prefer to watch? Check out this episode on YouTube: https://youtu.be/N_K8JypTV5o

Learn more about “Reading Between the Lines,” the collaboration between UConn and UIR that produced this podcast.

Ihsane Hmamouchi (Rheumatologist and Epidemiologist, International University of Rabat) presents her paper “How might we understand the meaning of "care" in the age of Artificial Intelligence?” at the What Are We Talking About When We Talk About AI? Symposium. October 9, 2025 at the University of Connecticut Humanities Institute.

In this episode, Ihsane Hmamouchi examines the complexities of care in healthcare when the caregiver is an algorithm, chatbot, or otherwise digital companion instead of a human. By walking us through the profound implications for AI in healthcare, Hmamouchi emphasizes the need for inclusivity and equity in designing future models of care for patients of all backgrounds. Rather than flattening diversity into uniformity, AI can reveal how different languages and cultures express pain, understand illness, and ultimately experience healing. The future of care in the age of AI will mean inclusivity, cultural relevancy, and centering the patient’s voice at its core. 

Prefer to watch? Check out this episode on YouTube: https://youtu.be/p4Ii6_EWjIg

Learn more about “Reading Between the Lines,” the collaboration between UConn and UIR that produced this podcast.

Anna Mae Duane delivers her talk, “New Love Stories: Companion Bots and the Changing Narrative of Care” at the What Are We Talking About When We Talk About AI? Symposium. October 9, 2025 at the University of Connecticut Humanities Institute.

In her talk, Anna Mae Duane dares us to consider the stakes of caring for AI by examining the power of love stories and their ability to change how we understand our relationships with AI. Falling in love with the imaginary has been a facet of human creativity for centuries, particularly among adolescents and AI companions and chatbot lovers are just the latest iteration of this phenomenon. Moreover, the desire for AI companionship amongst teens and adults shows no signs of slowing down anytime soon. Rather than shying away from the realities of caring for AI, Duane encourages us to recognize our own work as co-authors.

Prefer to watch? Check out this episode on YouTube: https://youtu.be/N1GBlDo4Vg4

Learn more about “Reading Between the Lines,” the collaboration between UConn and UIR that produced this podcast.

Do you need understanding to learn? In this episode, our scholars ruminate on the relationship between understanding and the potential of AI to actually “learn” through various methods including repetition and exposure to data. However, they also encourage us to consider the humanistic nature of learning specifically through cultural sensitivities and knowing who you’re studying. Ultimately, they ask: if AI can truly learn and absorb new information, will it ever be able to capture the emotional processing required to learn?

UConn Humanities Institute and professor of English, Director Anna Mae Duane leads a conversation about AI and learning, featuring Hakim Hafidi, assistant professor in machine learning, head of the department of AI, Université Internationale de Rabat; and Ihsane Hmamouchi, vice dean of the faculty of medicine, Université Internationale de Rabat.

Learn more about “Reading Between the Lines,” the collaboration between UConn and UIR that produced this podcast.

What does it mean to be an educator and to educate in a world becoming reliant on artificial intelligence? This week our scholars take on the question of how AI will reshape the future of education across several disciplines including literature, law, and medicine. AI has already transformed how students learn in a world driven by efficiency. The question now becomes how educators will respond to the growing challenges and promises of an advanced technological world while elevating the unique powers of the human mind.

UConn Humanities Institute and professor of English, Director Anna Mae Duane leads a conversation about AI and education, featuring Najia Hajjaj Hassouni, dean of the College of Health Sciences, Université Internationale de Rabat; Ouassim Karrakchou, deputy director of TICLab and professor of computer science, Université Internationale de Rabat; Tina Huey, Interim Director of Faculty Development, Center for Excellence in Teaching and Learning, University of Connecticut; and Meriem Regragui, professor of law, Université Internationale de Rabat.

Learn more about “Reading Between the Lines,” the collaboration between UConn and UIR that produced this podcast.

Can artificial intelligence one day help to mitigate systemic inequality? As part of UConn's Human-Centered AI Initiative, we've brought together a roundtable of scholars from Connecticut to Morocco define “justice” within their discipline.  It's only by understanding what we mean by the word justice, that we can begin to work together to deploy AI to create a more just and equitable world.

UConn Humanities Institute and professor of English, Director Anna Mae Duane leads a conversation about AI and justice, featuring Meriem Regragui, professor of law, Université Internationale de Rabat; Ting-An Lin, assistant professor of philosophy, University of Connecticut; Avijit Ghosh, applied policy researcher at Hugging Face and associate researcher at Riot Lab, University of Connecticut.

Learn more about “Reading Between the Lines,” the collaboration between UConn and UIR that produced this podcast.