Inclusive AI in Practice: Cross-Sector Roundtable

Moving from Conversation to Implimentation

Cette séance se déroule en anglais. Une séance en français est prévue le 8 septembre 2026.

Artificial intelligence has reshaped workplaces, products, services, and decision-making systems across sectors. It continues to do so in unpredictable ways. As organizations accelerate AI adoption, many teams are being asked to make high-impact decisions without clear governance structures, shared implementation standards, or practical guidance for assessing risk, accountability, accessibility, and long-term impact.

Across workforce, technical, and community contexts, organizations are grappling with how to ensure AI is implemented in ways that are inclusive, responsible, and grounded in real-world realities. HR professionals, AI practitioners, nonprofit leaders, governance stakeholders, and community advocates each hold critical perspectives on how AI systems can either reinforce existing inequities or help build more equitable futures.

This in-person QT Inclusive AI Roundtable brings together professionals across sectors for a facilitated cross-sector working session focused on one core question:

What do organizations actually need in order to implement inclusive AI responsibly in practice?

This session is designed as a collaborative working session over lunch where leaders and professionals can explore the real-world challenges of implementing AI responsibly, share practical insights across sectors, and help shape the tools, frameworks, and approaches organizations need to move from theory into action.

Through guided dialogue, peer exchange, implementation exercises, and collaborative activities, participants will explore:

• where AI is already influencing organizational decisions and systems
• the governance, operational, and accountability tensions organizations are navigating
• how different sectors experience and define AI risks differently
• where misalignments and gaps currently exist
• what practical tools, frameworks, and supports are needed to move from theory into implementation

Grounded in queer-informed approaches to systems, safety, accessibility, and community-centred accountability, this session centers lived experience as a critical source of implementation insight. Participants will examine how AI systems can unintentionally reproduce invisibility, exclusion, surveillance, or harm when deployed without meaningful community grounding or governance structures.

This event is only in-person, not hybrid. (Hybrid is shown to show both the sign up link and the address)

To read more and sign up, head to the QueerTech website linked.

About the Applied AI Institute:

The Applied AI Institute (AI2) coordinates AI research across Concordia University's four faculties to put artificial intelligence into practice. By partnering with business, civil society, and government, AI2 brings together diverse experts to build AI that actively challenges and improves the status quo.