Antonio Daniele

Antonio Daniele is a media artist and researcher with nearly two decades of experience in the international creative industry. His research focuses on the interdependencies between human expressivity and technology, exploring how automated technology (e.g., Artificial Intelligence) are shaping how we express ourselves in the world.

He holds a PhD in Media and Arts Technology CDT from Queen Mary University of London, where he investigated human-made and AI-generated drawings as a means to express emotions. Previously, he obtained an MA with Merit in Computational Arts from Goldsmiths, University of London, where he graduated with the work “This is Not Private” (2015), an interactive “empathic portrait” based on face tracking and custom-made algorithms that explored empathy as a means of communication. Recently, he achieved the distinction of Associate Fellow of Higher Education (AFHEA) from QMUL.

Antonio’s background spans both artistic and commercial expertise. Prior to his academic career in UK and UAE, he thrived in the digital industry between Italy and the UK, primarily as a digital media designer and motion graphics director. He worked with renowned digital agencies and brands such as Nike, Alfa Romeo, Samsung, and Nokia. Beyond his commercial projects, his personal art works have been exhibited at film festivals and art institutions across Europe, the UK, and the United States.

Antonio currently holds a tenure track position at IE University. His interests range from human expression and (neuro/bio) diversity to learning, play, intuition, automation, AI, 4E cognition, mind, intersubjectivity, drawing, urban/street art, generative methods, computation, tech-4-good and tinkering.

Corporate Experience

• Freelance, 2024 - Present

• Director at Let it Brain LTD, London, UK – Turin, IT, 2024 - Present

Academic Experience

• Assistant Professor, IE University, Spain, 2024 - Present

• Lecturer of Applied Media, Higher Colleges of Technology, Abu Dhabi, UAE, 2023 - 2024

• Teaching Fellow, Queen Mary University of London, London, UK, 2021 - 2022

• Associate Lecturer, Birkbeck, University of London, School of Arts, department of Film, Media and Cultural Studies, 2021 - 2022 

• Visiting Lecturer, University of Hertfordshire, School of Creative Arts, 2018 - 2021

Academic Background

• Ph.D. in Media and Arts Technology, Queen Mary University of London, 2022

• MA Computational Arts, Goldsmiths, University of London, 2015

• Associate Fellow of Higher Education (AFHEA), Queen Mary University of London, 2023

Selected Publications

• Daniele A., Di Bernardi Luft C., Bryan-Kinns, N. (2021) “What is human?” A Turing Test for artistic creativity. In: Juan Romero et al. (eds) Computational Intelligence in Music, Sound, Art and Design – 10th International Conference, EvoMUSART 2021. Lecture Notes in Computer Science, Springer, Cham 

• Daniele, A., Song, Y. Z. (2019) “AI+ Art= Human.” In Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 155-161.

• Daniele, A., Song, Y. Z. (2019) “Artistic Assemblage.” In xCoAx 2019, 7th Conference on Computation, Communication, Aesthetics & X