Expertise-Backed Dialogue on AI Governance
Bringing academic rigor, policy expertise, and community voices together to shape a Trustworhy AI governance.
TRUSTWORTHY AI Governance
AI safety, risk management, trustworthiness, and regulatory compliance necessitate collaborative efforts from diverse disciplines and sectors.
This collaboration is essential to comprehensively define the technology's scope, its necessity (often referred to as Question Zero), intended purpose, and associated risks, taking into account the specific domain, context of deployment, and target users. This groundwork is crucial before moving into the testing and evaluation phases.
But where can AI developers find these teams?
NewTech & Us offers a platform to match interdisciplinary experts, civil society representatives, and AI developers
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Find Experts, Evaluators, and Civil Society Representatives
If you are an AI developer—whether representing a private company, public institution, or non-profit organization—and you are interested in collaborating with experts in legal, ethical, socio-economic, or specific domain areas, please reach out to one of the experts on the platform. You can schedule a 15-minute introductory call to discuss and align on collaboration terms.
Examples of potential activities: compliance with the AI Act, management of AI regulatory sandboxes, evaluating internal models.
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Join as an Expert
If you are a civil society organization, a graduate in law, economics, or philosophy, or an expert in regulated fields such as automotive or medical devices—whether as a (post-)doctoral researcher or a professional practitioner—and you wish to support a meaningful trustworthy governance of AI, please get in touch with us by filling out the attached form. We will validate your profile and add it to our portal.
Examples of collaboration avenues: a part-time job contract or free support where the use case can be used in the expert's research.
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Try our Delegation Framework
If you are an AI develper or user and would like to assess the trutwortiness (from the EU perspective, focusing mainly on the Ethical Guidelines on Truwtworthy AI principles-therefore not fully representative to all possible definitions of trustworthiness) of your AI system, try our delegation framework.
Please share with us your feedback and results.
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Join our Community
If you are a concerned individual about the current developments in AI, and interested in guiding it towards a sustained a Human Agency, the "right" direction, or if you would like to stay informed about the latst developments from a balanced, research-based perspective, we invite you to join our social media accounts and events.
We are exploring what the "right" path looks like, as this depends on ethical considerations, legality, legitimacy, and societal acceptance. Navigating these issues in the context of AI is complex, as it involves analyzing the technology's economy, infrastructure, market value, policies, technical capabilities, supply chain, citizens' needs, and the requirements of domain experts, among other factors.
As AI systems become more powerful, autonomous, and embedded in public and private decision-making, organizations need more than principles. They need practical governance structures, clear responsibilities, risk assessment processes, stakeholder engagement, and trustworthy oversight.