Nemko Digital empowers organizations to navigate the complexities of AI regulation, ensuring that AI-embedded electronics are not only compliant but also safe, reliable, and trusted by the market. Working closely with our clients in the electronics sector, we help turn regulatory hurdles into a competitive edge—where the right processes, controls, and monitoring not only ensure compliance but also enable scale and accelerate innovation.
Four Big Takeaways for Leaders
At our AI Trust in Electronics Summit on 4 September 2025, leaders from government, industry, and technology agreed on four key lessons:
- AI governance must be integrated into development—not an afterthought.
- AI should be seen as augmented intelligence, with humans always in the loop.
- Regulation is not a brake—it is a guardrail for scaling innovation responsibly.
- You are accountable for AI you build and AI you buy. Even if AI is sourced externally, if it’s embedded in your product, you remain responsible.
These insights shaped every discussion—from Norway’s five-track national AI strategy, presented by State Secretary Mariana Williamson, to case studies from IBM and Visito showing how trusted AI delivers measurable results.
The New Competitive Edge: Trust in Intelligent Electronics
The rapid integration of AI into electronics—from consumer gadgets to industrial systems—has created a new paradigm for product development. With multiple AI applications emerging across the electronics landscape, one requirement stands out: trust.
As highlighted at the AI Trust in Electronics Summit, featuring State Secretary Mariana Williamson alongside experts from Nemko, IBM, and Visito, building market and regulatory trust in AI is now a critical success factor.
Trust gaps are measurable and urgent. Research shows that only about one third of people currently express high trust in AI systems, underlining the importance for businesses to embed governance into their AI lifecycle. Norway’s proactive five-track strategy provides a blueprint: investing in national AI infrastructure (including Norwegian and Sami language models), building competence through AI research centers, ensuring public sector AI adoption by 2030, strengthening international cooperation, and establishing a robust regulatory framework. These initiatives, detailed in the National Strategy for Artificial Intelligence [link], demonstrate how ecosystems of trust can be built.
At Nemko, we recognize that establishing trust in AI for electronics is the cornerstone of sustainable innovation. It is not about limiting potential—it is about unlocking it by providing guardrails to scale. To succeed, leaders must move beyond reactive checklists and embed trust into the very fabric of the AI lifecycle, addressing ethical dilemmas and defining clear guidance for human-AI interaction. For many organizations, knowing where to start is the hardest part. That’s why Nemko offers an AI Maturity Model to assess the current “as-is” state, define the desired “to-be” future, and chart the steps to get there.
Future-Proofing Technology: Agentic AI and GPAI
Emerging technologies such as Agentic AI and Generative AI offer enormous opportunities but also introduce new categories of risk. IBM emphasized this at the summit, showing how agentic systems can autonomously plan, act, and reflect—going far beyond traditional AI assistants. While they promise significant business value, potentially automating up to 70% of business activities, they also amplify risks like bias, lack of explainability, tool hallucinations, and expanded attack surfaces. IBM’s AI Risk Atlas organizes these risks into regulatory, reputational, and operational categories, underscoring the need for proactive governance.
Effective governance of agentic AI requires lifecycle controls: rigorous experiment tracking, monitoring for hallucinations and drift, ensuring traceability for debugging, and cataloging AI applications for oversight. Embedding accountability, compliance, and evaluation into workflows not only ensures alignment with frameworks such as the EU AI Act, but also builds resilience and customer trust in enterprise adoption.
Decoding the Regulatory Maze: Global Standards and the EU AI Act
The global regulatory environment for AI is expanding rapidly, with the EU AI Act setting a new benchmark for governance. For electronics manufacturers, understanding its implications is essential—especially if products fall into high-risk categories. See below an indication of risk levels for different types of products – however this is just illustrative – in the end every product needs its own Risk categorization to define the exact risk level according to EU AI Act – see also our AI Regulatory Compliance Services
Key regulations and standards you should be familiar with:
- EU AI Act Compliance – Establishes the legal baseline for accessing the EU market. Non-compliance could result in fines up to 7% of global turnover, making it the de facto global standard.
- Harmonized Standards – EU-recognized technical standards that reduce regulatory uncertainty, speed up product approval, and provide defensible evidence of compliance.
- ISO/IEC 42001 – The first AI management system standard (2023), offering a certifiable framework for integrating responsible AI practices into organizational processes.
- NIST AI RMF – A U.S.-driven voluntary framework for identifying, assessing, and managing AI risks. While not binding, it is influential globally and aligns with international risk-based approaches.
For many organizations, this landscape is overwhelming. Compliance is often seen as a burden, but leaders must shift toward a proactive strategy where trust is embedded into the AI lifecycle from the start.
Scaling AI Responsibly: Real-World Use Cases
Visito demonstrated how trust-based AI adoption works in practice. The Djinn tool, co-developed with journalists, scans public municipal archives to uncover newsworthy stories—reducing research from hours to minutes and improving accuracy and engagement. The AURA solution for EFTA automates the incorporation of EU legislation into the EEA framework, streamlining complex legal processes. Meanwhile, in healthcare, a Retrieval-Augmented Generation (RAG) proof of concept helped doctors surface relevant past cases faster, provided strict privacy, data anonymization, and explainability measures were in place. These examples show how governance, compliance, and adoption strategies enable responsible AI scaling in sensitive domains.
At Nemko, we support organizations in building trustworthy AI solutions by offering AI-Governance as a Service, working hand-in-hand with developers from design to deployment. Our framework covers risk management, data integrity, technical robustness, human oversight, transparency, and compliance with global standards such as the EU AI Act and ISO/IEC 42001. Once systems meet compliance and ethical benchmarks, we provide the Nemko AI Trust Mark—a certification for AI-embedded in electronics products that products adhere to high standards of safety, fairness, accountability, and regulatory readiness.
Building Trust Now
Trust is the new competitive advantage in intelligent electronics. By embedding governance into your AI lifecycle, you transform compliance from a cost into a catalyst for growth. Our September 4 Summit showed how government leaders, industry experts, and practitioners are already making this shift—turning AI regulation into a source of business strength.
📌 Watch the full AI Trust in Electronics Summit replay for frameworks, expert insights, and case studies.
📌 Talk to a Nemko expert today to start your AI Trust assessment and turn compliance into a growth strategy.
