Tag Archives: Artificial Intelligence

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/

On ‘The Creative Brain’

Anna Abraham is the E. Paul Torrance Professor and Director of the Torrance Center for Creativity and Talent Development at the University of Georgia. She is the author of ‘The Neuroscience of Creativity’ and the editor of the multidisciplinary volume ‘The Cambridge Handbook of the Imagination’. In this interview she discusses her latest book, ‘The Creative Brain: Myths and Truths’, which draws on theoretical and empirical work in cognitive psychology and neuroscience, and offers an examination of human creativity that reveals the true complexity underlying our conventional beliefs about the brain.

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.

If we fully engage with how generative AI works, we can still create original art

Dr Anthony Downey is Professor of Visual Culture (Birmingham City University), where his research and teaching focuses on practice-based research, Artificial Intelligence (AI), computer vision and machine learning, digital methodologies, and post-disciplinary models of knowledge production.
Anthony’s most recent book, ‘Trevor Paglen: Adversarially Evolved Hallucinations’ (Sternberg Press, 2024), outlines the extent to which so-called “hallucinations” reveal systemic biases in Generative Artificial Intelligence (GenAI). Recent and forthcoming publications include ‘Decolonizing Vision: Artificial Intelligence, Algorithmic Anxieties & Aerial Warfare’ (MIT Press, 2026); ‘Creative Endings: Visual Cultures, Generative Artificial Intelligence, and the Return of the Uncanny’ (Routledge Companion to Visual Culture, 2026); ‘AI as Alibi: Algorithmic Models of Automated Death’ (Digital War, 2025); ‘Algorithmic Predictions and Pre-emptive Violence’ (Digital War, 2024) and ‘The Return of the Uncanny: Artificial Intelligence and Estranged Futures’ (Visual Studies, 2024). Anthony is currently co-editing the first Special Journal Collection on AI and Memory for Memory, Mind & Media (Cambridge University Press).
Anthony sits on the editorial boards of Third Text (Routledge), Digital War (Palgrave Macmillan), Memory, Mind & Media (Cambridge University Press) and is the founder and series editor for Research/Practice (Sternberg Press).

On the relationship between AI, Human and Art.

Freddie Hong is a London-based researcher and computational artist. His work delves into the impact of emerging technology on our relationships with the physical world and society. With a PhD in the advanced manufacturing of interactive devices, he has critical insights into merging art and technology. Through interactive art installations and performances, Freddie explores the boundaries between authorship and control in Human-Computer Interaction. He is interested in capturing the current issues in digital technologies and creates compelling interactive artworks that encourage participants to experiment with “intelligent things,” fostering conversations about the role of digital agents in our lives. Freddie is currently a resident researcher at Microsoft Research Cambridge, where he focuses on robotics research within the CRAFT group (Creative Robotics and Future Technologies).

AI-generated faces look just like real ones – but evidence shows your brain can tell the difference

Robin Kramer is a Senior Lecturer in the School of Psychology, University of Lincoln.

“In recent years, my direction within psychology has led to the emergence of two related paths of research:
1. Face perception and social cognition – Utilising an evolutionary approach, I have been focusing on the signalling of personality and health information from the face, both in humans and chimpanzees, and have proposed the idea of a shared system across species. This investigation into social signals has also included own- and other-race faces, as well as information signalled through gait (using motion capture techniques).

2. Facial recognition and within-person variability – I have been using computational modelling in order to investigate the nature of within-person variability. I am trying to understand how we are able to recognise a familiar person from multiple (unstandardised) photographs, despite how varied these images often are. Through the use of principal components analysis and other techniques, I hope to model the variability of an individual and explore how idiosyncratic this variation might be.”

‘QBism’: quantum mechanics is not a description of objective reality – it reveals a world of genuine free will

Ruediger Schack is a Professor at the Department of Mathematics at Royal Holloway, University of London. He obtained his Ph.D. in Theoretical Physics at the University of Munich in 1991 and held postdoctoral positions at the Max Planck Institute for Quantum Optics, the University of Southern California, the University of New Mexico, and Queen Mary and Westfield College before joining Royal Holloway in 1995. His research interests are quantum information theory, quantum cryptography and quantum Bayesianism.