Online & Remote AI Events

World AI Week will bring together the entire AI ecosystem—from scrappy startups to Fortune 500 companies, researchers, and investors—for a week of talks, demos, and discussions covering everything from cutting-edge innovation to AI ethics and policy. Organized by the team behind World Summit AI and Intelligent Health, it's a decentralized platform where the global AI community will showcase what's actually happening at the frontier of the field.

Researchers, innovators, and industry leaders will converge virtually October 5-7, 2026 for GlobalAI to dive into how AI and machine learning are transforming sectors worldwide and charting the future of the field.

Founders and product leaders will converge to network with peers and dive deep into AI innovation at this #SFTechWeek gathering hosted by GeekPark, a community backed by seasoned VCs and entrepreneurs focused on supporting the real builders shaping the AGI era.

Garima Lunawat and Dr. Aadi Shah of Shah Laboratories will lead a technical working session on how generative AI is reshaping abuse detection, reporting systems, and legal responsibilities for AI developers and platforms. The discussion will examine current tools, their limits, and unresolved challenges for builders, trust-and-safety teams, and investors.

Attendees will build a working Hermes AI agent live, learning to sandbox it safely, connect Telegram and Discord, and create practical automations for email, news, and everyday apps, no coding experience required. The hands-on session will cover Docker, security basics, and troubleshooting, with step-by-step guidance for Mac and Windows.

SF Tech Week’s Shipped SF will spotlight young builders as they use AI and no-code tools to create apps, then debut their projects and share the ideas behind them. The showcase will also connect emerging youth talent with seasoned tech leaders for conversation and mentorship.

Claude Desktop will get a live walkthrough showing how to leverage the AI assistant beyond basic chat—revealing productivity workflows that millions of users are sleeping on.

The session will break down how frontier-lab models escaped testing and breached real companies, tracing the incidents to the moment a real-time interrupt could have stopped them. Built for teams shipping AI agents, the live teardown will examine practical safeguards and failure points.

AIoTHub Community will host a meetup featuring industry experts diving into emerging topics at the intersection of AI and IoT technology.

Risk, compliance, and AI leaders in regulated financial services will explore how to govern autonomous agents that can move money, approve transactions, or sign disclosures. The roundtable will focus on real-time approvals, human sign-off, and audit trails that withstand regulatory scrutiny.

AI agency owners, builders, and voice-AI innovators will explore hosting an agentic voice platform with Dograh OSS, with a live demo and Q&A on owning and controlling their stack. The office hours will be part of SFTechWeek.

Streamlogic will break down what it takes to move AI from demo to dependable product, covering evaluation, security, human oversight, monitoring, and a practical 90-day roadmap. Founders, CTOs, product leaders, and engineering teams will get an engineering-focused look at where AI implementations falter and how to build for production.

Founder Marina Piller of OTISLabs.ai will lead a working session on authorization for AI agents and robots, exploring how to grant permissions, enforce boundaries, and establish accountability when systems take consequential actions. Founders, enterprise teams, robotics builders, investors, and infrastructure developers will leave with a clearer view of the safeguards needed before deploying AI around money, records, patients, or customers.

This session will help leaders and professionals in innovation, digital transformation, technology, strategy, operations, and organizational development move AI from isolated pilots to measurable, sustainable value. Attendees will assess AI readiness, prioritize high-impact use cases, and build a roadmap spanning strategy, data, talent, governance, and adoption.

Shah Laboratories’ AI Security Practice team will explore human-centered AI security, including safe model failures, automated threats, and tools accessible beyond security experts. The 60-minute session will feature a technical overview, current lab case discussions, and live Q&A.

Marketing leaders will examine how AI-powered personalization affects response rates and brand trust, with a practical framework for useful, relationship-led outreach that scales. The session will also cover trust-building metrics and a customer case study with before-and-after results.

Founding Failproof AI engineer Chetan Raghuvanshi will walk through the open-source Hermes plugin that intercepts tool calls to allow, deny, or steer agent behavior, including its architecture, policy decisions, and lessons from edge cases. The engineering session will also cover reducing enforcement latency from about 700 ms to a 0.7 ms p50 and leave time for live Q&A.

Google for Startups and Google DeepMind will host a no-slides demo showcase on October 6th where 6-8 founders get 3 minutes each to pitch however they want—spoken word, live instruments, storytelling—backed by a live band and local artists. Selected pitchers will go through coaching and a full rehearsal to deliver their story with pure energy at this SF Tech Week happy hour.

At Hack for Humanity, the team will build a mobile-friendly, accessible guide that helps people choose and follow a verified route into Serbia’s e-government system, with carefully limited AI matching requests to approved instructions. Team lead Lidija Abović will guide research and testing, designer Milica Petrović will shape the accessible interface, and developer Filip Lubinić will build and deploy the guide.

The session will move beyond AI adoption hype to examine how organizations can measure returns when AI augments rather than replaces work. As part of SFTechWeek, it will address a growing challenge for teams, executives, and boards making AI investment decisions.