 |
| Speakers of The Digital Age event |
The goal of the event was to highlight just how important the digital world has become, and the ways it’s shaping so many areas of our lives. As technology continues to shape how we communicate, understand who we are, and engage with systems of care, it’s crucial that we pause and critically examine what this means for fields like mental health, psychiatry, and beyond.
 |
| Seiara Imanova introduced Lucienne Spencer |
The event began with an insightful presentation by Lucienne Spencer (University of Oxford), titled “Social Media & Shifts of Ontic Power in Mental Health”, which explored how digital spaces, such as social media platforms, can act as catalysts for shifts in psychiatric authority. In other words, online platforms like TikTok, Instagram as well as AI powered chatbots, are changing who gets to define, talk about, and influence mental health and psychiatry. Dr. Spencer highlights that although this shift could be considered a kind of ontic empowerment for people with mental ill health, re-shaping diagnostic categories in digital spaces carries the risk of distorting and diluting their original meaning.
Spencer’s presentation was followed by another incredible talk by Alan Winfield (University of Bristol), titled: “The Ethical Roboticist - From robot ethics to ethical robots”. Winfield looked at questions such as what do robot ethicists actually do, what kinds of harm can robots and AI cause, as well as ways for setting an ethical standard and regulations. Perhaps most striking was his demonstration of The AI Incidents Database, which highlighted why ethics was important in robotics, and how AI is already causing harm in the real world.
 |
| Alan Winfield's presentation |
Last but most definitely not least, the third presentation was given by Paris Lalousis (King’s College London) titled: “Artificial Intelligence in Mental Health: Challenges, Pitfalls, and Opportunities” which is based on the excellent work he does at his AIM Lab at King’s. In contrast, Lalousis discussed the growing need for AI in healthcare, particularly in psychiatry, by highlighting the limitations of current neuroscientific approaches, such as the constraints of neuroimaging, the challenges posed by diagnostic ambiguity and high comorbidity rates between psychiatric conditions.
 |
| Presentation by Paris Lalousis |
Lalousis argued that intelligent systems hold significant potential to address these gaps. He presented his study on how the use of machine learning can better predict remission for patients with mental disorders such as schizophrenia or bipolar, and a glimpse into precision medicine.
The event hoped to achieve its goal which was to foster meaningful reflection on both the possibilities and ethical tensions that arise as human experience becomes more entangled with algorithmic and artificially intelligent systems. You can watch the live recording of the event below.
The event hoped to achieve its goal which was to foster meaningful reflection on both the possibilities and ethical tensions that arise as human experience becomes more entangled with algorithmic and artificially intelligent systems. You can watch the live recording of the event below.
