This section offers a comprehensive repository of scholarly articles, research publications, official tools, and reference guides relevent to our domain.
Lectures & Presentations by Our Team
1. JMIR Mental Health Webinar: Responsible Design, Integration, and Generative AI
The Society of Digital Psychiatry in collaboration with JMIR Mental Health, a peer-reviewed, open access journal conduted its inaugural webinar on “Responsible Design, Integration, and Use of Generative AI in Mental Health.”
The ongoing advancement of generative AI (GAI) demands a thoughtful approach to ethical considerations of both its design and application. GAI models, demonstrating skills like language generation, image synthesis, and personalized mental health support, necessitate responsible application in mental health, requiring thorough scrutiny and guidance. In this webinar, the panelists examined the evolving role of GAI in mental health. Dr. Oren Asman, Dr. Amir Tal and John Torous explored recent advancements, emerging trends, and research opportunities. This webinar has been thoughtfully designed to provide a brief yet highly informative session, ensuring attendees have access to engaging, relevant, and accessible resources.
2. The "Artificial Other": Integrating Chatbots in Mental Healthcare
Dr. Asman, Director of the Samueli Iniatiative for Responsible AI in Medicine at Tel Aviv University, together with Dr. Amir Tal, Academic Coordinator of the Initiative, both a discuss possible implications of chatbots as an "artificial other" in mental healthcare and discuss several use cases from a growing professional community in Israel. These include potential benefits for patients and therapists alike. Considering a general ethical framework for utilizing Conversational Artificial Intelligence (CAI) in mental health is challenging, as more potential uses unravel. As a general thumb rule, responsible practices of utilizing chatbots in mental health care should preserve human attachment in therapy. But this remains an oversimplification that warrants further nuance. Risks such as over-reliance on the machine and decreased human connection are more evident with the ever-improving performances of CAI. These risks could be discussed in therapy and have an intrinsic therapeutic value. The duality of the bot – being “human like” as well as “far from being human” may be utilized in therapy for new directions of exploration. Lack of transparency and explainability regarding the reasoning for generated texts could create uncertainty but this may be an opportunity to explore emotions, interpretations, and responses of the patient, in line with their therapeutic goals and needs. Strange, upsetting, or unexpected outputs could be utilized to delve into a meaningful discussion in therapy. From a therapeutic standpoint, a shared exploration of the way this unique artificial other evokes ideas, thoughts, feelings and behaviors enhances current therapy tools.
Presented on September 22, 2023 as part of the Humanization of Healthcare Chatbots Workshop at the University of Zurich: https://ethics.dsi.uzh.ch/news/invitation_humanization-of-healthcare-chatbots/
3. On Intelligence and Sensitivity: Ethical Use of Artificial Intelligence in the Field of Mental Health
Dr. Asman, Director of the Samueli Iniatiative for Responsible AI in Medicine at Tel Aviv University, delves into the complexities, challenges, and considerations surrounding the deployment of AI, and specifically, generative AI, in mental health contexts. The lecture was presented in Hebrew.
Presented on September 18, 2023 as part of the "Who are you, the third AI" virtual conference.
4. Looking artificial intelligence in the eyes - the future is already here
Dr. Amir Tal, Academic Coordinator of the Initiative, delves into the realm of artificial intelligence (AI), highlighting its transformative potential for enhancing the lives of the elderly. While AI offers promising solutions for improved healthcare, companionship, and daily living support for senior citizens, it also introduces certain risks. Dr. Tal offers a balanced perspective, examining the benefits and critical ethical and practical considerations involved in the implementation of AI-driven solutions for the elderly. The lecture was delivered in Hebrew.
Presented on September 19, 2023 as part of Israel Gerontology Association activities.
1. Ethics and Governance of Artificial Intelligence for Health by the World Health Organization: Artificial intelligence (AI) has enormous potential for improving health outcomes and helping countries achieve universal health coverage. However, for AI to have a beneficial impact on people’s health, ethical considerations and human rights must be placed at the centre of its design, development and use. This course introduces entry-level knowledge to policymakers, AI developers and designers, and health care providers who are involved in designing, developing, using and regulating AI technology for health.
2. Artificial Intelligence for Healthcare: Opportunities and Challenges: The use of artificial intelligence (AI) has been a major development in healthcare. With the availability of vast amounts of health data, and the increasing possibilities of data analytics, understanding AI, and the challenges and opportunities it creates has never been been more important. On this course you will consider why we might need AI in healthcare, exploring the possible applications and the issues they might cause such as whether AI is dehumanizing healthcare. You should leave the course more confident in your knowledge of AI and how it might improve today’s healthcare systems. This course is for anyone wants to understand artificial intelligence and its application in healthcare. It will be particularly relevevant for those with some existing knowledge healthcare, especially students, researchers and healthcare professionals.
3. Fairness and Responsibility in Human-AI interaction in medical settings: Preparing the healthcare workforce for AI-augmented clinical decision making. AI has transformative potential in healthcare by delivering consistent, high-quality care for patients while relieving workload pressures in healthcare systems. Realisation of this potential has been challenged by issues of algorithmic trustworthiness, confidence and fairness around the use of AI for augmented clinical reasoning and decision making (CRDM). The UK NHS AI-Lab in partnership with Health Education England (HEE) have recently published a report highlighting the challenges around model bias, transparency, explainability and cognitive bias in the human-AI interaction for AI-augmented CRDM. Education on these issues is generally lacking amongst healthcare professionals, leading to reduced confidence and increased susceptibility to cognitive biases, which have the potential to exacerbate inequalities and reduce fairness. This course has been commissioned as part of our open funding call for Responsible AI courses, with funding from Accenture and the Alan Turing Institute.
4. Introduction to Responsible AI by Google: This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it's important, and how Google implements responsible AI in their products. It also introduces Google's 7 AI principles.
2. The AI Revolution in Medicine: GPT-4 and Beyond (2023) (Peter Lee, Carey Goldberg, Isaac Kohane)
1. Artificial Intelligence in Cancer Diagnosis and Therapy (2023) (Editors: Hamid Khayyam, Ali Madani, Rahele Kafieh and Ali Hekmatnia)
From the news/ Recently published
Responsible Artificial Intelligence in Medicine Seminar, Tel-Aviv University, Semester B, 2023
Coordinator: Amir Tal
4. AI and Digital Tools Used in Health Research: Considering the Ethical, Legal, and Social Implications
Tuesday, June 20, 2023
Dr. Camille Nebeker, EdD, MS, Director, UC San Diego Research Ethics Program
Maureen Abbott, Manager, Programs and Priorities, Access to Quality Mental Health Services, Mental Health Commission of Canada.