Rather than proposing any single model for AI governance at this stage, the foregoing preliminary recommendations focus on the principles and functions to which any such
regime must aspire.
Over the coming months, we will consult — individually and in groups — with diverse stakeholders around the world. This includes participation at events tasked with discussing the issues in this report as well as engagement with governments, the private sector, civil society, and research and technical communities. We will also pursue our research, including on risk assessment methodologies and governance interoperability.
Case studies will be developed to help think about landing issues identified in the report in specific contexts. We also intend to dive deep into a few areas, including OpenSource, AI and the financial sector, standard setting, intellectual property, human rights, and the future of work by leveraging existing efforts and institutions.

The Stanford Emerging Technology Review (SETR) is the first product of a major new Stanford technology education initiative for policymakers. The goal is to help both the public and private sectors better understand the technologies poised to transform our world so that the United States can seize opportunities, mitigate risks, and ensure that the American innovation ecosystem continues to thrive.

Growing volatility, uncertainty, complexity and ambiguity today present major challenges in policymaking. Anticipatory thinking and foresight are of utmost importance to help explore trends, risks and emerging issues, and their potential implications and opportunities in order to draw useful insights for strategic planning, policymaking and preparedness. This report is a part of the project ‘Anticipation and monitoring of emerging technologies and disruptive innovation’ (ANTICIPINNOV), a collaboration between the European Commission Joint Research Centre and the European Innovation Council (EIC). The findings include a set of 106 signals and trends on emerging technologies and disruptive innovations across several areas of application. It is based on a review of key reports on technology and innovation signals and trends produced by public and private bodies outside of the EU institutions. Its goal is to strengthen the EIC’s strategic intelligence capacity through the use and development of anticipatory approaches that will - among other goals – support prioritisation in innovation funding. Other insights were identified, namely those related to the scope of EIC programme manager portfolios.

This interim Report examines the factors behind recent AI developments, highlights the benefits offered by the technology, and identifies a series of challenges for policymakers. It is examined how the UK Government has responded, and how this compares to other countries and jurisdictions.

El sector público está empezando a incorporar herramientas basadas en inteligencia artificial, entre las que debemos destacar las destinadas a la lucha contra la corrupción y el fraude como una de las actividades de las administraciones más proclives al uso de herramientas basadas en inteligen- cia artificial. En el presente estudio se analiza cómo la unión de ciencias del comportamiento e inteligencia artificial pueden ser muy positivas para un adecuado control preventivo de la corrupción en la actuación de los servi- dores públicos, pero también abre la puerta a determinados riesgos propios del empleo de ambas técnicas (ciencias del comportamiento e inteligencia artificial), que deben tenerse en cuenta para así poder corregirlos.

Regulatory experimentation tools are used to test new economic, institutional and technological approaches, and legal provisions, outside of existing regulatory structures. This report focuses on regulatory sandboxes, where authorities engage firms to test innovative products or services that challenge existing legal frameworks. Participating firms obtain a waiver from specific legal provisions or compliance processes to innovate. This report presents lessons learnt from fintech regulatory sandboxes and their positive impacts, such as fostering venture capital investment in fintech start-ups. It covers challenges and risks involved in implementing regulatory sandboxes and their testing processes. This report presents policy considerations for AI regulatory sandboxes, including institutional interdisciplinary cooperation and the need to build up AI expertise within regulatory authorities. Findings underline the need for regulatory interoperability and the role that trade policy can play. Finally, it discusses the need for comprehensive criteria to determine sandbox eligibility and assess trials, and the potential impact of sandboxes on innovation and competition.

The European Union (“EU”) Artificial Intelligence Act (the AI Act) is a legal medley. Under the banner of risk-based regulation, the AI Act combines two repertoires of European Union (EU) law, namely product safety and fundamental rights protection. Like a medley, the AI Act attempts to combine the best features of both repertoires. But like a medley, the AI Act risks delivering insufficient levels of both product safety or fundamental rights protection. This article describes these issues by reference to three classical issues of law and technology. Some adjustments to the text and spirit of the AI Act are suggested.

In this paper, we perform a preliminary analysis of the technologies, firms and industries that may be affected by the possible futures of the metaverse, attempting to derive some hypotheses on the spatial effects of this process. We distinguish between two possible evolutive scenarios – the ‘metaverse shaped by reality view’ and the ‘metaverse shaping reality view’ – and factors affecting them, deriving implications for public policy planning. The first scenario presents relatively traditional core policy challenges: ensuring homogeneous availability of network infrastructures as well as the skills indispensable to catch the new technological opportunities at the local level, accompanying the reallocation of factors of production associated to disruption and addressing inequalities. In the second, the main challenge is more radical: to ensure that desirable features are incorporated in the emerging virtual worlds from the start.