Our vision
Shaping the Future of AI Product Management Together
Our vision is to be the leading global community for AI product management, recognized for its commitment to excellence, ethical principles, and continuous learning.
We envision a future where AI-powered products enhance human experiences, drive positive societal impact, and contribute to a sustainable and inclusive digital economy. Through collaboration and innovation, we strive to shape the evolution of AI product management and inspire positive change in the world.
Our mission
Fostering Innovation, Empowering Excellence
in AI Product Management
We want to empower AI product managers with the knowledge, skills, and resources needed to navigate the complexities of AI development while upholding ethical standards and fostering innovation.
We aim to create a collaborative environment where professionals can share insights, best practices, and experiences, driving forward the responsible and impactful integration of AI into products and services
Latest from AIPM Community
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Part 3: Beyond Ethics Checklists—Operationalizing ISO/IEC 42001 and EN 18286 for AI Product Compliance
An ISO/IEC 42001 certificate is not product compliance. Part 3 shows how to extend an ISO 27001 ISMS into an AI Management System, build an Article 17 QMS on EN 18286:2026, handle pre-determined model changes and incident reporting, and overlay NIST AI RMF and CSA AICM controls.
Part 2: The 2026 Global AI Regulatory Landscape—EU AI Act Omnibus, US Fragmentation, and China’s Agent Rules
The EU deferred high-risk obligations to 2027 but Article 50 transparency already applies; US state AI laws stay enforceable despite federal preemption pressure; China regulates companion AI and agents vertically. Part 2 maps the 2026 landscape and the Unified Control Baseline that lets AI products ship globally.
Part 1: Why Deterministic SDLC Fails for AI Products—The Hidden Cost of Probabilistic Code & Silent Degradation
Traditional software fails loudly; AI products fail quietly with a 200 OK. Part 1 of the AI Product Management & Engineering Compliance series explains why deterministic SDLC breaks down for probabilistic AI systems—and why retrofit compliance costs far more than compliance-by-design.
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