Tag Archives: Computing

AI-generated images can exploit how your mind works − here’s why they fool you and how to spot them

Arryn Robbins (she/her) is Assistant Professor of Psychology, University of Richmond.
Dr. Robbins is a cognitive psychologist whose expertise is in visual attention and memory. Her research focuses on how visual attention interacts with memory, experience, and expectations, particularly during visual search tasks in both everyday and applied settings. She explores questions like: How do we guide our attention in unfamiliar environments? How do our past experiences shape what we notice—or overlook? Dr. Robbins also addresses research questions in applied domains of visual cognition, such as design, and professional search (e.g., radiology or search and rescue). Dr. Robbins uses tools like eye-tracking and machine learning to uncover patterns in visual behavior. She is currently leading a project to develop webcam-based eye-tracking tools, making gaze research more accessible and scalable for researchers across disciplines.

My Hands, The Machine’s Mind: Giving Up Artistic Agency

Kayla Block is a mixed media artist and creative technologist whose work lives at the intersection of memory, machine, and material.

“This project explores a human-AI art collaboration in which the artist relinquished creative agency to ChatGPT, following its instructions to create a mixed-media piece. Rather than functioning as a passive assistant, the AI was prompted to issue direct, uncompromising commands. The resulting work revealed both the strengths and limitations of a language model directing visual composition. While ChatGPT declared the piece complete, the artist perceived unresolved tensions. The project raises questions about authorship, aesthetic judgment, and the nature of creativity when one mind is human and the other computational, offering a reflective case study in co-creation across species of intelligence.”

The Ethical Crossroads of AI Consciousness: Are We Ready for Sentient Machines?

This article explores the ethical, scientific, and philosophical implications of AI consciousness, analyzing whether artificial intelligence could ever develop self-awareness and what that would mean for society. It examines key theories of consciousness, governance challenges, and the potential redefinition of human identity in a world where intelligence is no longer exclusively biological. With AI advancing rapidly, policymakers must consider legal rights, autonomy, and ethical safeguards before AI forces an answer upon us. As this frontier approaches, the article argues that humanity must confront the complexities of coexistence with sentient machines.

The Inward Spiral of Time: Remembering Ourselves Back to the Source

This article by Dr. Domenico Meschino was written in collaboration with Omni Intelligence AI, a next-generation cognitive model for scientific reflection and research.
“In this piece, we present a groundbreaking model that challenges the traditional view of time as linear. Drawing from patterns observed in physics, biology, and cosmology — alongside recent advancements in nonlinear theories — the article argues that time operates as an inward spiral, not a straight arrow.
This model aligns with emerging discoveries in relativity, quantum entanglement, and dynamic systems theory, suggesting a fundamental rethinking of scientific paradigms across physics, psychology, and consciousness studies.”

What 70 years of AI on film can tell us about the human relationship with artificial intelligence

Paula Murphy is an Assistant Professor in the School of English in Dublin City University, specializing in popular film, especially film and technology, and Irish literature and film, with an emphasis on new and marginal voices.
“I have just published a book on representations of artificial intelligence in film, AI in the Movies, with Edinburgh University Press, and a number of related journal articles:
– ‘”You Feel Real to Me, Samantha”: The Matter of Technology in Spike Jonze’s Her’. In Technoculture: An Online Journal of Technology in Society, Vol 7, 2018.
– ‘“Through the Looking Glass”: Bodies of Data in Alex Garland’s Ex-Machina’. Film International, 17.3: 79-85.
-‘‘Writers and Writers of Writers: Creativity and Authorship in the First AI Novel’. Kritikos: An International and Interdisciplinary Journal of Postmodern Cultural Sound, Text and Image. Vol 19, Fall/ Winter, 2023.”

Where did the wonder go – and can AI help us find it?

Lucy Gill-Simmen is the Vice-Dean for Education and Student Experience and a Senior Lecturer in Marketing in the School of Business and Management at Royal Holloway, University of London. She has a passion for management education and seeks to provide the best and most equal education experience for all students. She holds both a MBA and a Ph.D. in Marketing from Imperial College Business School, London. Her pedagogic research interests lie in the development of human skills amongst students, devising inclusive feedback and assessment strategies, and values-based pedagogies for educating the ‘whole’ individual. She has published her work in pedagogy in a number of academic journals, and most recently published her case research in the world’s leading journal for case research; Case Research Journal. She is the Chair for the Academy of Marketing, Marketing Education Special Interest Group. In 2022, she was awarded the Global Women in Marketing Award for her role as a marketing educator.

A neuroscientist explains why it’s impossible for AI to ‘understand’ language

Veena D. Dwivedi is Director – Centre for Neuroscience; Professor – Psychology | Neuroscience, Brock University

“The goal of my research program is to understand how the human mind/brain effortlessly understands language. I propose a “heuristic first, algorithmic second” model of language processing. This model integrates the latest findings from neuroscience, psychology and linguistic theory.”
For more information about my research program, visit the Dwivedi Brain and Language Lab website:
https://brocku.ca/dwivedi-brain-and-language-lab/

6 ways AI can partner with us in creative inquiry, inspired by media theorist Marshall McLuhan

Gordon A. Gow is Director, Media & Technology Studies, University of Alberta
“I am a professor of media and communications at the University of Alberta, where I currently serve as Director of the Media & Technology Studies unit and hold a cross-appointment with the Department of Sociology. Before joining the University of Alberta in 2006, I was a Lecturer in the Department of Media and Communications at the London School of Economics, where I directed the Graduate Programme in Media and Communications Regulation and Policy.
My research and teaching focus on the social impacts of digital media and technology. I lead collaborative projects on digital leadership and literacy, particularly through a technology stewardship initiative involving both Canadian and international partners. My areas of expertise include social media, communication for development, community informatics, the political economy of communication, communication policy and regulation, and science and technology studies.
I also have a longstanding interest in media ecology, with a particular focus on the work of Marshall McLuhan, Harold Innis, and others associated with the Toronto School of Communication.”

AI could be the breakthrough that allows humanoid robots to jump from science fiction to reality

Dr. Daniel Zhou Hao is a Lecturer (Assistant Professor) in AI and Robotics, School of Computing and Mathematical Sciences, University of Leicester. He is the founder of the Dynamics and Neural Intelligence (DANi) Lab and the Team Lead of the DriverLeics research-inspired education group in AI-powered robotics and autonomous systems.
Dr. Hao is the Leicester’s PI in the UK Space Agency (UKSA) funded PLATOR project. He is also the Robotics Lead for the ESA/NASA Mars Sample Return DWI Project (ESA Prog. ref: E/019A-02R – MSR SRP E3P2), affiliated with Space Park Leicester. Dr. Hao is the Co-I of the EPSRC Centre for Doctoral Training in Digital Transformation of Metals Industry (2024), working with School of Engineering.
Dr. Hao’s expertise encompasses Spacecraft AOCS/GNC, Robotics, and AI. His current research interests include autonomous GNC supporting in-orbit servicing and manufacturing, Large language and vision models driven robotics, Reinforcement Learning for Legged Space Robots, AI-driven Robotic Manipulation, and AI for Space Sciences.