ADOR-IA

As part of the R3AI project, IVADO, Obvia and SEMLA are joining forces with their respective networks to co-organize the first edition of ADOR-IA, the very first Workshop for the Responsible Development and Operationalization of AI, to be held on August 22, 2024 online and on August 29 and September 5 in face-to-face format in Montreal.

ADOR-IA is a unique opportunity to work with a multidisciplinary team to consider addressing challenges in the development and responsible operationalization of AI. During the workshop, participating teams will collaborate on challenges submitted by IVADO member organizations.

Are you part of the student community and studying in the following fields?

• AI and MLOps
• Social sciences (law, ethics etc.)
• Environment and sustainable development 

Come and take up the ADOR-IA challenges, with the support of participating companies and expert mentoring!

Workshop details:

What to expect?

• One-day training on practices and tools for responsible AI deployment
• 6 Large Language Model (LLM) integration challenges provided by companies
• Team of 3 students minimum per challenge, accompanied by the company
• Access to expert mentoring
• Opportunity to pursue a supervised project or Mitacs internship
• Bilingual workshop – French and English 

Examples of problems:

Algorithmic biases: An organization could submit a problem to ensure that its AI model does not generate algorithmic biases. 

Transparency and explicability: An organization could submit a problem to make the decisions made by its AI system less opaque to users, and thus make it more transparent. 

Privacy and data protection: The use of large amounts of data to train AI models raises concerns about privacy and the security of personal data. 

Legal and ethical responsibility: In the event of errors or damage caused by AI systems, it can be difficult to determine who is responsible.

Equity and social justice: AI can potentially exacerbate existing inequalities by favoring certain groups or excluding others.

Safety and reliability: AI systems can be vulnerable to malicious attacks, posing risks to the security and reliability of AI applications. 

Increased energy consumption: AI models often require vast amounts of data and intensive calculations, which can lead to increased energy consumption. 

These issues require a proactive, multidisciplinary approach involving, for example, experts in AI, social sciences (ethics, law etc.) and the environment to ensure that AI is used responsibly and for the benefit of society.

If you are interested in participating, please submit your application via this form before July 3, 2024.

Preliminary program:

August 22 (online)

• AM – Opening plenary: Presentation of issues from different organizations
• PM – Training on responsible AI tools and best practices

August 29 (in person at HEC centre-ville)

• AM and PM: Teamwork on accepted responsible AI issues

September 5 (in-person at HEC centre-ville)

• AM: Preparation of presentations
• PM: Plenary and closing cocktail

For any questions, do not hesitate to contact us: barbara.decelle@ivado.ca and melissa.authier@ivado.ca

The ADOR-IA organizing team

_________________________________________

About Obvia

Obvia is an interuniversity network that federates the driving forces behind cross-sector research into the societal impacts of AI and digital technologies. It brings together more than 240 researchers and numerous partners in Quebec and abroad. Its mission is to identify the challenges of AI and digital technologies and contribute to solutions that place living beings and the biosphere at the center of their development and use cycle. Obvia’s research community produces open knowledge that strengthens individual and collective capabilities, in collaboration with civil society, public players, industry and developers.

About SEMLA

SEMLA is a Quebec-based research group that brings together researchers in software engineering and applied machine learning from universities in Quebec and Canada, specializing in intelligent systems engineering. Created in 2021 after three successful editions of the SEMLA symposium. SEMLA researchers aim to develop methods, tools and technologies for the secure, reliable and safe development of intelligent applications. SEMLA also aims to contribute to the training of the next generation of up-and-coming engineers in our Universities and also the training of professionals currently working in the industry through professional training courses.

About IVADO

IVADO is an interdisciplinary, cross-sectoral  research, training and knowledge mobilization consortium whose mission is to develop and promote a robust, reasoning and responsible AI. Led by Université de Montréal with four university partners (Polytechnique Montréal, HEC Montréal, Université Laval and McGill University), IVADO brings together research centres, government bodies and industry members to co-build ambitious cross-sectoral initiatives with the goal of fostering a paradigm shift for AI and its adoption.