Center Sponsored and Related Conferences
2026- 9th Annual Medical Ethics Symposium
Trust but Verify: Ethical Challenges of AI in Healthcare
Stony Brook University Hospital’s Institutional Ethics Committee is pleased to announce
our Call for Abstracts for our 9th Annual Medical Ethics Symposium, Trust but Verify:
Ethical Challenges of AI in Healthcare.
Artificial intelligence (AI) is transforming healthcare by improving diagnosis, streamlining
administrative tasks, supporting personalized treatment plans and in medical research.
However, the growing use of AI in medicine also raises important ethical concerns.
While AI has the potential to enhance patient care and efficiency, healthcare providers
and patients must approach these technologies with caution and critical oversight.
Professionals and students from all healthcare, legal and other associated disciplines
are invited to submit poster proposals associated with this theme. Chosen topics should
consider evidenced based evaluation, ethical principles to be considered, effective
strategies for implementation, risk assessment and /or guidance for improved practice
and conflict resolution.
According to the National Academy of Medicine’s An Artificial Intelligence Code of
Conduct for Health and Medicine, Essential Guidance for Aligned Action, “Over the
last decade, advances in artificial intelligence (AI) technologies have created transformational
opportunities for health, health care, and biomedical science. While new tools are
available to improve effectiveness and efficiency in myriad applications in health
and health care, challenges persist, including those related to increasing costs of
care, staff burnout and shortages, and the growing disease burden of an aging population.
The need for new approaches to address these long-standing challenges is evident,
and AI offers both new hope and new concerns. This publication presents an AI Code
of Conduct (AICC) framework developed to align the field around responsible development
and application of AI, and to catalyze collective action to ensure that the transformative
potential of AI in health and medicine is realized.”
Suggested Topics (some listed in the NAM Code of Conduct Framework):
- Embedding a “Moral Conscience " or Ethical Framework into AI applications
- Developing approaches and considerations for inclusion and alignment when providing
internal guidance for the development, purchase, or use of AI in their specific context,
thereby advancing trust and minimizing the likelihood of actors across the field contending
with approach inconsistencies.
- Reskilling and training programs for workforce AI competency
- Positive work and learning environments and culture
- Measurement, assessment, strategies, and research
- Disruptive technologies with change management strategies that promote worker well-being
- Development of standards and other governance structures to assess alignment by developers
and users of health AI with societal and cultural goals for health AI
- Development and implementation of processes for independent evaluation, guidelines,
standards and evidenced based oversight of these programs to monitor for accuracy,
acceptable standards of practice, conflicts of interest etc.
- Incentives and structures for independent evaluation, certification to the AI Code
Commitments, and public and transparent reporting on certification status
- Standardized metrics to assess and report bias in data, AI output, and AI use, in
the interest of equitable distribution of benefit and risk Incentives and supports
- Informed consent and ethical communication regarding the use of AI
- Standardized quality and safety metrics to be used to assess the impact of the use
of health AI on health outcomes
- Aligned frameworks for safety, equity, and quality in AI performance
- A well supported national health AI research agenda
- Participation in shared learning across all stakeholders
- Innovation as a core investment
- Data Security, Patient Privacy and Accountability
- Bias in AI, from data collection to biased algorithms
- Transparency in the use of AI, such as use in radiology, informed consent
- Harm to patients from the use of AI – who is responsible
- Transparency in research generated with AI
- Risk of exacerbating health disparities and AI
Abstracts must be uploaded in PDF format by the deadline of June 30th, 2026, to jean.mueller@stonybrookmedicine.edu; late entries will not be accepted. Notification of abstract acceptance for poster
presentations will occur by July 9th, 2026.
Abstracts must include:Title of Project/Presentation, authors name including earned
degree(s) and professional title, and a short bio including description of your work
and research or quality improvement initiatives in medical bioethics, in fewer than
500 words including:
- Statement of Purpose and/or aims of the research or quality improvement initiative,
- Ethical Principle(s) Involved,
- Approach/Methodology/Strategy, Importance,
- Significance and Implications.
Accepted Posters must be mounted (36” x 44”) and will be displayed during the conference
on August 7, 2026. All Poster presenters will be expected to be available for questions
and answers during lunch and break times to share their projects. First, Second and
Third Place Winners will be notified prior to the conference and given the opportunity
to present their Poster in a 10-minute Rapid Fire Session during the Symposium.
Save the date:
August 7, 2026
Location: MART Auditorium & via Zoom
For questions or additional information, please contact Jean Mueller Symposium Coordinator
at Jean.Mueller@stonybrookmedicine.edu.
Stony Brook University Hospital’s Institutional Ethics Committee is pleased to announce
our Call for Abstracts for our 9th Annual Medical Ethics Symposium, Trust but Verify:
Ethical Challenges of AI in Healthcare.
Artificial intelligence (AI) is transforming healthcare by improving diagnosis, streamlining administrative tasks, supporting personalized treatment plans and in medical research. However, the growing use of AI in medicine also raises important ethical concerns. While AI has the potential to enhance patient care and efficiency, healthcare providers and patients must approach these technologies with caution and critical oversight.
Professionals and students from all healthcare, legal and other associated disciplines are invited to submit poster proposals associated with this theme. Chosen topics should consider evidenced based evaluation, ethical principles to be considered, effective strategies for implementation, risk assessment and /or guidance for improved practice and conflict resolution.
According to the National Academy of Medicine’s An Artificial Intelligence Code of Conduct for Health and Medicine, Essential Guidance for Aligned Action, “Over the last decade, advances in artificial intelligence (AI) technologies have created transformational opportunities for health, health care, and biomedical science. While new tools are available to improve effectiveness and efficiency in myriad applications in health and health care, challenges persist, including those related to increasing costs of care, staff burnout and shortages, and the growing disease burden of an aging population. The need for new approaches to address these long-standing challenges is evident, and AI offers both new hope and new concerns. This publication presents an AI Code of Conduct (AICC) framework developed to align the field around responsible development and application of AI, and to catalyze collective action to ensure that the transformative potential of AI in health and medicine is realized.”
Suggested Topics (some listed in the NAM Code of Conduct Framework):
Abstracts must include:Title of Project/Presentation, authors name including earned degree(s) and professional title, and a short bio including description of your work and research or quality improvement initiatives in medical bioethics, in fewer than 500 words including:
Artificial intelligence (AI) is transforming healthcare by improving diagnosis, streamlining administrative tasks, supporting personalized treatment plans and in medical research. However, the growing use of AI in medicine also raises important ethical concerns. While AI has the potential to enhance patient care and efficiency, healthcare providers and patients must approach these technologies with caution and critical oversight.
Professionals and students from all healthcare, legal and other associated disciplines are invited to submit poster proposals associated with this theme. Chosen topics should consider evidenced based evaluation, ethical principles to be considered, effective strategies for implementation, risk assessment and /or guidance for improved practice and conflict resolution.
According to the National Academy of Medicine’s An Artificial Intelligence Code of Conduct for Health and Medicine, Essential Guidance for Aligned Action, “Over the last decade, advances in artificial intelligence (AI) technologies have created transformational opportunities for health, health care, and biomedical science. While new tools are available to improve effectiveness and efficiency in myriad applications in health and health care, challenges persist, including those related to increasing costs of care, staff burnout and shortages, and the growing disease burden of an aging population. The need for new approaches to address these long-standing challenges is evident, and AI offers both new hope and new concerns. This publication presents an AI Code of Conduct (AICC) framework developed to align the field around responsible development and application of AI, and to catalyze collective action to ensure that the transformative potential of AI in health and medicine is realized.”
Suggested Topics (some listed in the NAM Code of Conduct Framework):
- Embedding a “Moral Conscience " or Ethical Framework into AI applications
- Developing approaches and considerations for inclusion and alignment when providing internal guidance for the development, purchase, or use of AI in their specific context, thereby advancing trust and minimizing the likelihood of actors across the field contending with approach inconsistencies.
- Reskilling and training programs for workforce AI competency
- Positive work and learning environments and culture
- Measurement, assessment, strategies, and research
- Disruptive technologies with change management strategies that promote worker well-being
- Development of standards and other governance structures to assess alignment by developers and users of health AI with societal and cultural goals for health AI
- Development and implementation of processes for independent evaluation, guidelines, standards and evidenced based oversight of these programs to monitor for accuracy, acceptable standards of practice, conflicts of interest etc.
- Incentives and structures for independent evaluation, certification to the AI Code Commitments, and public and transparent reporting on certification status
- Standardized metrics to assess and report bias in data, AI output, and AI use, in the interest of equitable distribution of benefit and risk Incentives and supports
- Informed consent and ethical communication regarding the use of AI
- Standardized quality and safety metrics to be used to assess the impact of the use of health AI on health outcomes
- Aligned frameworks for safety, equity, and quality in AI performance
- A well supported national health AI research agenda
- Participation in shared learning across all stakeholders
- Innovation as a core investment
- Data Security, Patient Privacy and Accountability
- Bias in AI, from data collection to biased algorithms
- Transparency in the use of AI, such as use in radiology, informed consent
- Harm to patients from the use of AI – who is responsible
- Transparency in research generated with AI
- Risk of exacerbating health disparities and AI
Abstracts must include:Title of Project/Presentation, authors name including earned degree(s) and professional title, and a short bio including description of your work and research or quality improvement initiatives in medical bioethics, in fewer than 500 words including:
- Statement of Purpose and/or aims of the research or quality improvement initiative,
- Ethical Principle(s) Involved,
- Approach/Methodology/Strategy, Importance,
- Significance and Implications.
Save the date:
August 7, 2026
Location: MART Auditorium & via Zoom
For questions or additional information, please contact Jean Mueller Symposium Coordinator at Jean.Mueller@stonybrookmedicine.edu.
August 7, 2026
Location: MART Auditorium & via Zoom
For questions or additional information, please contact Jean Mueller Symposium Coordinator at Jean.Mueller@stonybrookmedicine.edu.