ARTIFICIAL INTELLIGENCE AND HEALTH DATA SCIENCE
Held in the Gaze: consists of three artworks - Heart, Dream-Catcher, Accuracy &Trust
WHO DO WE BECOME, WHEN SEEN THROUGH THE LENS OF A MEDICAL AND ALGORITHMIC GAZE?
Held in the Gaze, is a response to the phrase "A Picture of Health" by three artists for whom health and conversations about it are central to their practice. By investigation and art-making they seek to bring insights from current research in the medical field, that involve machine learning and link to the rich history of diverse ‘ways of knowing’. Under the theme of Big data and Artificial Intelligence, their anchor for a Picture of Health is how we are seen as patients and when computer representations of ourselves are central to a clinical consultation.
Held in the Gaze consists of three pieces: Heart; Accuracy and Trust and Dream-Catcher Machine, exploring the medical and algorithmic gaze.
Heart is a robotic work simulating a heart beat. It examines whether medical diagnostic imaging tools truly represent our internal physiology.
Accuracy and Trust explores the tension between the need of greater data for accuracy, and our trust in the system collecting it.
Dream-Catcher Machine creates a space for participants to enter, with images gathered from the artists’ learning journey with doctoral student Jonny Jackson in the field of medical imaging and data science.
BEHIND THE MAKING
Heart
PP film, polarizing film, electronics
Heart is a robotic work simulating a heart beat.
The cubes inside the cylinder represent arteries and ventricles. Clinicians use diagnostic imaging facilities (X-ray, CT, MRI, etc.) to collect clinical data of our organs covered with several layers of tissues. In other words, visualising the invisible data requires a special lens to see them. This artwork uses polarizing film as an imaging technology to show the artwork inside.
Accuracy and Trust
Ink on Paper
Accuracy and Trust explores the tension between the need of greater data for accuracy, and our trust in the system collecting it.
Accuracy and Trust outlines the journey of befriending between data monster and human. We developed this piece to explore the tension between accuracy and trust that arises as an increasing use of machines for better accuracy. The fundamental trust seems to be endangered, as the history of trust lies in the human relationship between the patient and clinician, while the data monster seems to be always hungry, and is fed with intention to reach better accuracy. But are accuracy and trust on opposite ends of a magnet? How will both parties befriend each other for a healthier relationship?
Dream-Catcher Machine
Paper, metal, acrylic, micro-cable, fishing wire
Dream-Catcher Machine creates a space for participants to enter, with images gathered from the artists’ learning journey with doctoral student Jonny Jackson in the field of medical imaging and data science.
Artificial Intelligence, as a term triggers promising dreams and dystopian nightmarish futures. Usually masking the science of Machine Learning, the less mentioned research and application in the medical field. Dream-Catcher Machine responds to the practical process of applying machine learning to begin with medical imaging and from that to model heart function and flow. It follows the story of Design, Develop and Deploy, with each thread a response to one of these phases of AI creation and use. Human and machine work in harmony, results in the final thread where the heart is poetry, as well as science.