Applied AI Ethics MonthlyMixer - Where Innovation Meets Responsibility
— United States

When
10/14/2026, 9:00:00 AM
Where
Online
About
Join a global, open-format gathering for those building and questioning AI — from real-world use cases to critical conversations around ethics, bias, and transparency.
Every month, we create space for developers, researchers, and policymakers to connect in meaningful, unmoderated dialogue — with flexible chats, peer learning, and 1-on-1 video networking.
Watch how it works: https://www.youtube.com/watch?v=bOYkxBjrAYY
What Is the Applied AI & Ethics #MonthlyMixer?
The Applied AI & Ethics MonthlyMixer is a self-directed online networking event where professionals from across the AI spectrum come together to collaborate, question, and connect.
This isn’t a webinar or panel — it’s a structured-free, chat-first environment hosted on a Slack-like virtual platform, featuring topic-specific channels and private video or text chat options.
Whether you're designing algorithms, drafting policy, or advocating for responsible tech, this is your space to exchange ideas, showcase projects, or meet others who care about building AI with integrity and impact.
Who Should Join:
AI/ML developers working on real-world deployments
Policy makers and legal experts exploring AI governance
Data scientists interested in ethical model design
Academics and researchers studying AI and society
Ethicists, community leaders, and social impact advocates
Product leaders balancing innovation with responsibility
Whether you're launching applied AI tools or questioning their societal effects, this mixer welcomes your perspective.
Explore These Channels Inside:
The platform provides themed group discussions to help you navigate the topics that matter most:
#general – Start with introductions, announcements, and cross-topic conversation
#networking – Share your portfolio, white papers, startups, or ethical AI tools
#intros – Tell your story: what you work on and why it matters
#help-wanted – Request or offer guidance around data ethics, fairness, or responsible deployment
#industry-room-tech