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Responsible Artificial Intelligence

CHENNAI 2024

1st International Workshop on Responsible AI for Healthcare and Net Zero

Date

October
16-17, 2024

Venue

IIT Madras,
Chennai,
India

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Motivation and objectives

Responsible AI efforts so far have been criticised to be ‘western focussed’ and ignoring the unique context of developing and under-developed countries. This first international workshop will uniquely explore these imbalances by bringing researchers from around the world to discuss, debate and present cutting-edge research in this growing research area.  The workshop's primary aim is to advance the understanding and implementation of Responsible AI in the fields of Healthcare and Net Zero. The objectives will be to share cutting-edge research, discuss responsible AI frameworks, and foster collaboration among researchers, practitioners, and policymakers. 

Key dates

Submission Deadline

August 15, 2024


Notification of Acceptance

September 1, 2024
 

Workshop Date

October 16-17, 2024

Home Desk

Topics covered but not limited to:

1/ International  Perspectives on Responsible AI
  •  Diverse ethical standards and AI governance models from different parts of the world.

  • Variety of AI policies and practices by region and the implications for global cooperation.

  • Global perspectives on the Responsible AI tenant of: Explainability, Fairness and Trustworthiness/Safety.

2 / Case Studies from Developed, Developing and Under-Developed Countries
  • Real-world applications of AI in healthcare and environmental sustainability from these regions.

  • Challenges, successes, and lessons learned from these implementations.

3 / Interdisciplinary Research and Collaboration
  • Interdisciplinary approaches combine AI with other disciplines, for example, behaviour science, social sciences, environmental science, and public health, to foster holistic solutions.

4 / Policy and Regulation
  • Current AI policies and what international regulations might be needed to promote responsible AI globally.

5 / Sustainability of AI Solutions
  • Environmental impact of AI technologies and how to make AI systems more energy-efficient and less resource-intensive.

  • Explore sustainable AI models that align with Net Zero goals.

6 / Future of AI in Global Health and Environmental Challenges
  • How AI can evolve to better meet the challenges of global health crises and climate change.

7 / Stakeholder Engagement and Public Trust
  • Methods to improve public understanding and trust in AI applications.

  • Strategies for engaging a broad range of stakeholders in the conversation around AI development and implementation.

8 / Responsible AI for Net Zero
  • Using AI to predict and combat the impacts of climate change.

  • AI-driven approaches to support the development of a circular economy.

  • Promoting transparency in AI-driven circular economy initiatives.

Large Audience

Workshop audience

This workshop is designed for a diverse audience, including but not limited to:

  • Healthcare Professionals Interested in AI: Doctors, nurses, and healthcare administrators looking to understand how AI can improve diagnostics, patient care, and operational efficiency and why it needs to be done responsibly. 

  • Researchers Studying AI Applications in Healthcare: Scientists and academics examining how Responsible AI technologies can be deployed safely and effectively in medical contexts.

  • Developers Creating AI Tools for Medical Use: Programmers and software engineers focused on designing AI-driven applications for healthcare environments.

  • Students and Academics Exploring Ethical AI Use: Undergraduate/postgraduate/PhD students, along with faculty members, engaged in studies related to the ethical implications and practices of AI across various fields.

  • Professionals and Researchers in Environmental Science and Sustainability: Experts looking to apply AI in tackling climate change, enhancing resource efficiency, and achieving Net Zero goals.

  • Engineers and Technologists Developing AI for Sustainability Projects: Individuals focused on creating AI solutions that support renewable energy, waste reduction, and sustainable agriculture.

  • Policymakers and Regulators Interested in AI’s Impact on the Environment: Government officials and regulatory bodies crafting policies that govern the use of AI in environmental conservation and climate action.

  • NGOs and Activists Focused on Technology and Sustainability: Representatives from non-profit organisations and advocacy groups that promote sustainable development through technological innovation.

Workshop format & proposed length

The proposed length of the workshop is one full day on each theme (Healthcare, Net Zero), divided into a stimulating sub-session including invited talks, panels and peer-reviewed papers/talks and posters on different aspects of Responsible AI.


Papers will be invited in the below categories and will receive thorough reviews. All accepted peer-reviewed papers will be published in CEUR-WS.org, which provides published proceedings and papers as open access.


Research and application papers: Submissions should focus on presenting original research, case studies or novel implementations in the topics relevant to the workshop(see topics section). These papers will also be considered for posters. Max 8 pages 1-column in CEURART style paper format. You can also download an offline version with the style files from http://ceur-ws.org/Vol-XXX/CEURART.zip(Copy the link and paste it into any browser if not open). It also contains DOCX template files. 
Position paper: Authors are encouraged to submit papers that discuss critical and thought-provoking topics within the scientific community. These papers will also be considered for posters. Max 4 pages in 1 column in
CEURART style paper format.    
Submission Link- All submissions should be via Easychair: https://easychair.org/conferences/?conf=rai2024

Day 1: Responsible AI for Healthcare

The format and focus of each session are as follows:

09:00-09:30

Welcome and Opening remarks: Professor Balaraman Ravindran and Professor Dhaval Thakker

09:30-10:15

Keynote 1 

 

10:15-11:15

Oral presentations X 4  (chair: Professor Kevin Pimbblet

11:15-11:35

Coffee break

11:35-12:05

Oral presentation X 2 (chair: Professor Kevin Pimbblet

 

12:05-13:05

Invited Talks (chair: Dr Bhupesh Mishra)

  • Talk 1: Ms Kuniko Paxton (UoH)

  • Talk 2: Dr Will Jones (UoH)

  • Talk 3: TBC

 

13:05-14:30

Poster session with Lunch break  (chair: Dr Bhupesh Mishra

14:30-15:30

Invited Talks (Chair: Dr Gokul Krishnan)    

  • Talk 1: Dr Rameez Kureshi (UoH): Indoor Urban Observatories: AI & IoT to drive positive behaviour change.

  • Talk 2: Dr. Krishna Pillutla, Assistant Professor, Dept. of CSE, IIT Madras.

  • Talk 3: Taofiq Adeyemo, Predicting bleeds in Glioma patients on prophylactic anticoagulants using artificial intelligence techniques.

.

15:30-16:30

Panel session:

Responsible AI for Healthcare - opportunities and challenges (chair: Professor Dhaval Thakker, UoH). Panel members: Professor Balaraman Ravindran, Dr Will Jones, Professor Kevin Pimbblet, and Dr Gokul Krishnan

16:30-16:45

Close and summary and plans for day 2 (Professor Dhaval Thakker)

Day 2: Responsible AI for Net Zero

The format and focus of each session are as follows:

09:00-09:30

Welcome and Opening remarks: Dr Satyanarayanan Seshadri and Professor Nishikant Mishra

 

09:30-10:15

Keynote 2 

 

10:15-11:15

Oral presentations X 4 (10 mins talk, 5 mins Q & A) (chair: Dr Satyanarayanan Seshadri

11:15-11:35

Coffee break

 

11:35-12:05

Oral presentation X 2 (10 mins talk, 5 mins Q & A) (chair: Dr Satyanarayanan Seshadri

 

12:05-13:05

Invite Talks (chair: Professor Nishikant Mishra

  • Talk 1: Xinhui Ma UoH: Net Zero and Digital Twins

  • Talk 2: Jevon Westcarr UoH: Devising a Responsible Framework for Air Quality Sensor Placement

  • Talk 3: from IIT-M 

 

13:05-14:30

Poster session with Lunch break  (chair: Professor Nishikant Mishra

14:30-15:30

Invited Talks: 20 minutes each with 5 mins Q &A (Chair: Dr Bhupesh Mishra)

  • Talk 1: Koorosh Aslansefat on Safe Large Language Models (SafeLLM)

  • Talk 2: from IIT-M

  • Talk 3: TBC

15:30-16:30

Panel session: Responsible AI for Net Zero - opportunities and challenges (chair: A colleague from IIT-M). Panel members: Dr Satyanarayanan Seshadri, IITM, Professor Nishikant Mishra, and one more colleague from IIT-M. 

 

16:30-16:45
Closing and thank you (Professor Dhaval Thakker and Professor Balaraman Ravindran)

Organisers (conference chairs)

Track chairs (Responsible AI for Healthcare)

Track chairs (Responsible AI for Net Zero)

Web and publicity chairs

Local coordination chairs

Programme committee members

TBC

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Forward enquiries to the Publicity Chair

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