Successful summit on AI Trust in Electronics

 The race to embed artificial intelligence into connected products has reached a critical inflection point. With 80% of electronic engineers actively engaged with AI and 42% already shipping AI-based products, the technology has moved from experimental to essential. But as regulatory deadlines loom and customer expectations for trustworthy AI intensify, the question is no longer whether to integrate AI, it's how to do it right.

The European Union's AI Act penalty enforcement begins in August 2026, creating an unprecedented compliance deadline that will reshape how companies approach AI in embedded systems. Meanwhile, the General Product Safety Regulation has been in effect since December 2024, and ISO/IEC 42001 certification demand is surging across industries. For engineering and product leaders in electronics, medical devices, IoT, mobility, telecom, and industrial systems, the window for proactive preparation is rapidly closing.

This convergence of regulatory pressure, competitive dynamics, and technological advancements makes trusted AI not just a compliance requirement, but a fundamental business imperative. If not complying, one risks regulatory penalties, delayed market entry, and erosion of brand trust in an environment where 37% of consumers have already switched brands to protect their privacy.

On 4^th Sept., an international summit denoted AI Trust in Electronics took place in Oslo, Norway, organized jointly by IBM Norway and Nemko Digital with IBM’s premises in Oslo as the venue.
The idea was to bring together the expertise, frameworks, and practical guidance needed to navigate the complex landscape of AI trust in embedded systems

It was attended physically by about 60 business leaders, regulators, and innovators + about 100 online.

 Amongst the themes covered were: 
-ISO/IEC 42001 Implementation Roadmap for establishing AI Management Systems (AIMS). ISO/IEC 42001 is the first international certifiable standard for AI governance, which offers a comprehensive framework for managing AI throughout its lifecycle.

-Agentic AI Governance and Risk Management, addressing the emerging challenges of autonomous AI systems that can make decisions and take actions with minimal human intervention. Frameworks for managing autonomous AI behavior were explored, including for alignment with company values and regulatory requirements. 

-Practical Trust-by-Design Methodologies for translating theoretical concepts into implementable processes, incl. techniques for creating AI factsheets, designing fail-safe mechanisms, and feedback that enable continuous improvement and risk mitigation.

-Competitive Advantage Through Verified AI which demonstrates how trust becomes a market differentiator. Case studies were reviewed of companies that have successfully leveraged AI trust as a business strategy, examining both the technical implementations and market outcomes.

-The EU AI Act Penalty Enforcement which represents the most immediate and significant regulatory pressure point. Its phased implementation timeline creates critical deadlines throughout 2025 and 2026.
In August 2026, the full penalty enforcement begins for high-risk AI systems, while the final guidelines are not expected published before February 2026, i.e. only 6-8 months before enforcement.

-The existing General Product Safety Regulation (GPSR) with immediate compliance obligations for AI-embedded consumer products sold within the EU. Unlike the AI Act's risk-based approach, GPSR applies broadly to physical and digital consumer products containing AI, both online and offline. Due to its broad scope, most AI products are for consumers are affected.

For further information about the summit or about Nemko's AI Trust Mark certification and AI governance services, please contact Bas.Overtoom@nemko.com

(This article is based information from Bas Overtoom + announcements on internet; edited by T.Sollie)