Join the premier global event where industry leaders, regulators, and innovators converge to establish trust frameworks for AI-powered electronics. The AI Trust in Electronics Summit 2025 delivers actionable insights for embedding responsible AI into products, systems, and supply chains at scale.
The electronics industry stands at a critical juncture. As artificial intelligence (AI) becomes deeply embedded in everything from smart appliances to industrial control systems, the need for AI Trust in Electronics has never been more urgent. Modern consumers and enterprises demand products that are not just intelligent, but transparent, reliable, and ethically designed, emphasizing fairness and explainability.
We help organizations navigate this complex landscape by providing the frameworks, expertise, and certification pathways needed to build genuinely trustworthy AI-powered electronics. The summit represents the culmination of global expertise in responsible AI implementation, bringing together the minds shaping tomorrow's trusted technology ecosystem.
Electronics manufacturers face an unprecedented challenge: accelerating AI innovation while maintaining an unwavering commitment to safety, transparency, and regulatory compliance. AI embedded in products requires sophisticated governance frameworks that traditional quality assurance methods cannot address alone. These frameworks must include trust mechanisms essential for the human oversight of AI systems.
The stakes are substantial. According to recent industry analysis from the World Economic Forum, AI-driven electronics will represent over $2.3 trillion in global market value by 2030. However, consumer trust remains the decisive factor in widespread adoption, especially in sectors like autonomous vehicles.
Global regulators are moving rapidly to establish AI governance requirements. The EU AI Act now mandates specific compliance measures for high-risk AI systems, while jurisdictions from Singapore to Canada implement their own frameworks. Electronics companies must proactively build trust mechanisms, addressing ethical issues and ensuring transparency in AI decision-making.
Our framework enables organizations to transform compliance requirements into competitive advantages, positioning trust as a market differentiator rather than a regulatory burden, aligning with the key values of fairness and explainability.
The AI Trust in Electronics Summit 2025 connects industry leaders worldwide through comprehensive digital access, eliminating geographical barriers to critical knowledge sharing. Scheduled for September 4, 2025, from Oslo, the event delivers practical frameworks that participants can immediately implement in their organizations.
Key sessions include:
The summit brings together renowned specialists including Nemko Digital's Global Business Development Director Bas Overtoom, who has been instrumental in developing the AI Trust Mark certification framework, and IBM's AI Governance Lead Hans Petter Dalen. Their experience helps organizations embed responsible AI practices that protect reputation while unlocking competitive advantage.
Nemko ensures that AI trust isn't just a theoretical concept but a measurable, verifiable business asset. Our certification approach provides electronics manufacturers with clear pathways to demonstrate AI trustworthiness to customers, regulators, and stakeholders while emphasizing the importance of explainability and fairness.
The AI Trust framework encompasses critical elements including technical robustness, transparency requirements, human oversight mechanisms, and continuous monitoring capabilities. This comprehensive approach addresses both current compliance needs and emerging trust expectations, considering trustee involvement in AI governance.
Organizations require structured approaches to AI trust implementation. Our AI maturity model enables companies to assess their current capabilities, identify gaps, and develop systematic improvement plans that align with business objectives and regulatory requirements.
This proven methodology has helped electronics manufacturers across sectors—from consumer devices to industrial systems—establish trust frameworks that scale with their AI ambitions while maintaining strict governance standards.
Smart home devices, wearable technology, and connected appliances represent the frontier of consumer AI trust. Users demand products that protect privacy, make transparent decisions, and provide meaningful human control. The summit explores how leading manufacturers build these capabilities into product DNA from initial design phases, addressing key issues of AI decision transparency.
Industrial electronics incorporating AI decision-making capabilities face even higher trust requirements. Manufacturing systems, logistics networks, and infrastructure management platforms must demonstrate reliability, predictability, and fail-safe operation. Industry experts share practical approaches to meeting these elevated trust standards, focusing on fairness and human oversight.
According to MIT Technology Review, agentic AI systems—those capable of autonomous action—are rapidly becoming standard in electronics applications, making trust frameworks essential for market success.
The summit facilitates crucial dialogue between electronics manufacturers, technology providers, regulatory bodies, and standards organizations. This collaborative approach ensures that trust frameworks remain practical, implementable, and aligned with real-world business requirements, encouraging interaction between AI developers and industry actors.
Participants gain insights from legal, compliance, and risk leaders who navigate evolving AI regulation landscapes daily. These perspectives help organizations anticipate regulatory changes and build adaptable governance structures that remain effective across multiple jurisdictions.
Academic researchers and industry R&D teams share the latest findings on embedded AI safety, system robustness, and trust measurement methodologies. This research-practice connection ensures that trust frameworks incorporate cutting-edge knowledge while remaining commercially viable.
The IEEE Standards Association provides additional context on emerging technical standards for AI system transparency and accountability in electronics applications, aiding organizations in realizing the full potential of AI in their daily lives.
Participants receive practical frameworks, templates, and certification pathways they can implement immediately. The digital format includes downloadable resources, presentation materials, and ongoing access to expert insights that extend beyond the live event.
Digital access provides comprehensive coverage of all sessions, interactive Q&A opportunities with speakers, and networking capabilities with global participants. The format eliminates travel constraints while maintaining full engagement with content and community.
While applicable across sectors, the summit particularly serves consumer electronics, industrial automation, automotive systems, healthcare devices, and smart infrastructure companies implementing AI-driven decision-making capabilities.
Our certification approach builds upon established quality frameworks like ISO 9001, extending them with AI-specific governance requirements. This integration approach minimizes disruption while maximizing trust-building impact.
Beyond the EU AI Act, participants should track developments in the US NIST AI Risk Management Framework, Singapore's Model AI Governance, and emerging sector-specific requirements in automotive, healthcare, and industrial applications.
The electronics industry's future depends on building products that users, enterprises, and regulators can trust completely. The AI Trust in Electronics Summit 2025 provides the expertise, frameworks, and connections needed to establish your organization as a leader in responsible AI implementation.
Our framework enables immediate action on trust-building initiatives while positioning your organization for long-term success in the AI-driven electronics marketplace. Join industry leaders worldwide who are defining the standards for trustworthy AI in electronics.
Register for digital access and gain the insights, tools, and connections that will drive your responsible AI strategy forward.