I’m happy to share that a new report I had the joy and privilege to co-author with Leonie Beining and Stefan Heumann (both of Stiftung Neue Verantwortung) just came out. It’s titled:
“Towards a European AI & Society Ecosystem”
I’m including the executive summary below, you can find the full report here. The report is co-produced by Stiftung Neue Verantwortung and ThingsCon.
Here’s the executive summary:
Artificial Intelligence (AI) has emerged as a key technology that has gripped the attention of governments around the globe. The European Commission has made AI leadership a top priority. While seeking to strengthen research and commercial deployment of AI, Europe has also embraced the role of a global regulator of technology, and is currently the only region where a regulatory agenda on AI rooted in democratic values – as opposed than purely market or strategic terms – can be credibly formulated. And given the size of the EU’s internal market, this can be done with a reasonable potential for global impact. However, there is a gap between Europe’s lofty ambitions and its actual institutional capacity for research, analysis and policy development to define and shape the European way on AI guided by societal values and the public interest. Currently the debate is mostly driven by industry, where most resources and capacity for technical research are located. European civil society organizations that study and address the social, political and ethical challenges of AI are not sufficiently consulted and struggle to have an impact on the policy debate. Thus, the EU’s regulatory ambition faces a serious problem: If Europe puts societal interests and values at the center of its approach towards AI, it requires robust engagement and relationships between governments and many diverse actors from civil society. Otherwise any claims regarding human-centric and trustworthy AI would come to nothing.
Therefore, EU policy-making capacity must be supported by a broader ecosystem of stakeholders and experts especially from civil society. This AI & Society Ecosystem, a subset of a broader AI Ecosystem that also includes industry actors, is essential in informing policy-making on AI, as well as holding the government to its self-proclaimed standard of promoting AI in the interest of society at large. We propose the ecosystem perspective, originating from biology and already applied in management and innovation studies (also with regard to AI). It captures the need for diversity of actors and expertise, directs the attention to synergies and connections, and puts the focus on the capacity to produce good outcomes over time. We argue that such a holistic perspective is urgently needed if the EU wants to fulfil its ambitions regarding trustworthy AI. The report aims to draw attention to the role of government actors and foundations in strengthening the AI & Society Ecosystem.
The report identifies ten core functions, or areas of expertise, that an AI & Society Ecosystem needs to be able to perform – ten areas of expertise where the ecosystem can contribute meaningfully to the policy debate: Policy, technology, investigation, and watchdog expertise; Expertise in strategic litigation, and in building public interest use cases of AI; Campaign and outreach, and research expertise; Expertise in promoting AI literacy and education; and sector-specific expertise. In a fully flourishing ecosystem these functions need to be connected in order to complement each other and benefit from each other.
The core ingredients needed for a strong AI & Society Ecosystem already exist: Europe can build on strengths like a strong tradition of civil society expertise and advocacy, and has a diverse field of digital rights organizations that are building AI expertise. It has strong public research institutions and academia, and a diverse media system that can engage a wider public in a debate around AI. Furthermore, policy-makers have started to acknowledge the role of civil society for the development of AI, and we see new funding opportunities from foundations and governments that prioritize the intersection of AI and society.
There are also clear weaknesses and challenges that the Ecosystem has to overcome: Many organizations lack the resources to build the necessary capacity, and there is little access to independent funding. Fragmentation across Europe lowers the visibility and impact of individual actors. We see a lack of coordination between civil society organizations weakening the the AI & Society Ecosystem as a whole. In policy-making there is a lack of real multi-stakeholder engagement and civil society actors often do not have sufficient access to the relevant processes. Furthermore, the lack of transparency on where and how AI systems are being used put additional burden on civil society actors engaging in independent research, policy and advocacy work.
Governments and foundations play a strong role for the development of a strong and impactful AI & Society Ecosystem in Europe. They provide not only important sources of funding on which AI & Society organizations depend. They are also themselves important actors within that ecosystem, and hence have other types of non-monetary support to offer. Policy-makers can, for example, lower barriers to participation and engagement for civil society. They can also create new resources for civil society, e.g. by encouraging NGOs to participate in government funded research or by designing grants especially with small organizations in mind. Foundations shape the ecosystem through broader support including aspects such as providing training and professional development. Furthermore, foundations are in the position to act as convener and to build bridges between different actors that are necessary in a healthy ecosystem. They are also needed to fill funding gaps for functions within the ecosystem, especially where government funding is hard or impossible to obtain. Overall, in order to strengthen the ecosystem, two approaches come into focus: managing relationships and managing resources.
