Events for you

This event is a discussion about the AI 2040: Plan A scenario developed by the AI Futures Project, exploring a proposed global agreement to manage AI advancement responsibly. It is for researchers, policy makers, and AI enthusiasts interested in the ethics, feasibility, and implications of controlled AI development. Attendees will evaluate the plan's coherence and alternatives to managing AI growth through to 2040.

This summit brings together public sector and education leaders to explore modern strategies for endpoint security and IT service delivery. Attendees will learn about leveraging AI, automation, and modernization to address cybersecurity threats and improve digital services. The event is designed for those managing IT operations, security, and digital transformation in government and education sectors.

Welcome to the Global AI & Emerging Technologies Conference! Join us at Toronto Metropolitan University, Hall B92 for a day filled with cutting-edge discussions and insights on artificial intelligence and emerging technologies. Whether you're a tech enthusiast, a developer, or a business professional, this event is perfect for anyone looking to stay ahead in the rapidly evolving world of technology. Our lineup of expert speakers will cover a wide range of topics, from machine learning and robotics to blockchain and IoT. Get ready to network with like-minded individuals, explore the latest tech trends, and gain valuable knowledge to drive innovation in your field. Don't miss out on this opportunity to be part of the conversation shaping the future of AI and emerging technologies. Reserve your spot today! I NVITATION LETTER is provided upon registration for the event Contact: info @globaltechzone.com Theme “Responsible Intelligence at Scale: From Research to Real-World Impact.” Focus on deploying AI and emerging tech (edge computing, robotics, quantum-adjacent methods, XR) that are safe, equitable, and commercially viable . Purposes (Outcomes-Driven) Knowledge Exchange: Latest applied AI breakthroughs and scalable architectures. Skills Building: Hands-on labs in MLOps, LLM alignment, RAG systems, and secure deployment. Partnerships: Matchmaking among startups, enterprises, universities, and investors. Policy & Trust: Practical governance toolkits for privacy, bias mitigation, and safety. Commercialization: Live accelerator-style pitch reviews and procurement roundtables. Target Audience CTOs, CIOs, Heads of AI/DS, product leaders ML engineers, data scientists, platform & DevOps teams Health, finance, manufacturing, gov/public sector innovation leads Researchers, PhD candidates, postdocs Investors, accelerators, corporate venture units Policy makers, standards bodies, legal & compliance professionals Why This Is a Must-Attend Single-day, high-density program with han

Developers, designers, campaigners, researchers, and civic technologists collaborate to explore and prototype tools using accessible council data. The event focuses on improving local democracy and political campaigning through data-driven projects. Participants learn about the dataset before forming teams to build innovative solutions together.

This meetup focuses on explainable AI and causality, featuring a presentation by an expert in the field, followed by collective discussions to evolve an open source AI responsibility framework. It targets participants interested in advancing trustworthy and auditable AI through collaborative work. Attendees can learn about industrial AI use cases and updates to the Labelia open referential and label.

This session examines how bias originates and manifests in large language models. It is designed for technical professionals, researchers, product leaders, and policymakers aiming to understand and mitigate bias in generative AI. Attendees will learn about detection methods and strategies for deploying fair and ethical AI systems.

Code for Japan Summit 2026 focuses on the relationship between public services and AI in society. It gathers government officials, citizens, engineers, and researchers to discuss AI's integration in healthcare, transportation, education, and public policy. Attendees engage in dialogue on designing societal AI use and public collaboration during Japan’s digital transformation.