{"id":74823,"date":"2021-03-08T16:30:00","date_gmt":"2021-03-08T15:30:00","guid":{"rendered":"https:\/\/www.hiig.de\/?p=74823"},"modified":"2023-03-28T14:05:47","modified_gmt":"2023-03-28T12:05:47","slug":"roundtable-dialogues-for-the-future-of-ai-in-europe","status":"publish","type":"post","link":"https:\/\/www.hiig.de\/en\/roundtable-dialogues-for-the-future-of-ai-in-europe\/","title":{"rendered":"Roundtable dialogues for the future of AI in Europe"},"content":{"rendered":"\n

Pathways for an excellent European AI that promotes fundamental rights and the common good<\/h4>\n\n\n\n
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With the publication of its White Paper on Artificial Intelligence<\/a> in February 2020, the European Commission launched a broad consultation process<\/a> and invited key figures in civil society, industry representatives and researchers to contribute proposals for a European approach to AI. In this context, the AI & Society Lab<\/a> at the Alexander von Humboldt Institute for Internet and Society joined forces with the Representation of the European Commission in Germany for a series of roundtables. Four events brought together diverse experts and practitioners from various fields to share their perspectives, concerns and suggestions in a dialogue around issues addressed in the White Paper.<\/em><\/p>\n\n\n\n

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European digital infrastructure \u2013 a solid foundation for European values<\/strong><\/h3>\n\n\n\n

The first edition of this roundtable<\/a> series revolved around the topic of AI, the Internet of Things (IoT)<\/strong> and the concept of decentralised data<\/strong>, with discussions on the status quo and pitfalls of this approach. Malte Beyer-Katzenberger from the EU Commission underlined that \u201cdecentralisation is a must<\/a>\u201d for Europe to become the \u201cglobal hub for data\u201d (White Paper on AI, p. 25). According to Vanessa Cann, managing director of the German Federal AI Association, European projects such as GAIA-X should become \u201cmore than just an infrastructure<\/a>\u201d in this context and could offer services as well as APIs in order to become attractive. The roundtable participants argued that necessary measures still have to be agreed on in order to realise these potentials, while safeguarding digital and fundamental human rights at the same time. Underlying, broader concepts such as productivity or security and their implications will have to be re-negotiated, while open data approaches are thought to have great potential for safeguarding digital human rights<\/a> \u2013 provided that these data sets are as diverse as the teams working with them. Building AI with open AI tools, together and in a bottom-up manner could be \u201ca great chance to tackle societal problems together<\/a>\u201d, said Dr. Stefan Ullrich of the Weizenbaum Institute.<\/p>\n\n\n\n

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\u27a1\ufe0f Watch the inputs from the roundtable on AI and IoT on our YouTube playlist<\/a>.<\/figcaption><\/figure><\/div>\n<\/div><\/div>\n\n\n\n

Inclusive AI \u2013 leaving no one behind<\/strong><\/h3>\n\n\n\n

A central suggestion by the White Paper is the risk-based approach for regulation. One field \u201cconsidered as high-risk\u201d (p. 18) is the field of human resource management.<\/strong> The starting point of our second roundtable on inclusive AI<\/strong><\/a> was the realisation that citizens, workers as well as anti-discrimination advice centres and other bodies often do not understand how the systems they use work and whether they potentially present a source of discrimination. Various participants argued that a \u201cstrong right to information<\/a>\u201d and transparency obligations should therefore be reflected in the European legal framework that so far still lacks \u201cregimes for transparency, traceability and human oversight\u201d (p. 9). Rather than focusing on high-risk cases or sectors, Carla Hustedt of the Bertelsmann Stiftung suggested<\/a> that it might be more helpful to define additional criteria for \u201cidentifying the cases within sectors that are really problematic\u201d. Just like technological progress, legal advancements should be \u201cinseparably linked to a <\/strong>broad societal debate about norms and to the protection of democratic values\u201d, especially outside the global North, urged Jaana M\u00fcller-Brehm of iRights.Lab<\/a>. 
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\u27a1\ufe0f Watch the inputs from the roundtable on inclusive AI on our YouTube playlist<\/a> [in German, english subtitles provided].<\/figcaption><\/figure>\n\n\n\n

AI and sustainability \u2013 growth vs. the environment?<\/strong><\/h3>\n\n\n\n

In our third roundtable on AI and sustainability<\/strong><\/a> we aimed to shed light on the question whether AI can be a \u201ccritical enabler\u201d (p. 2) to \u201ctackle the most pressing concerns, including climate change and environmental degradation\u201d (p. 5), or not. For Dr. Marc Schattenmann from the Federal Ministry for Environment, a trustworthy European AI \u201cmust also be sustainable AI<\/a>\u201d, suggesting that policies and regulation must feature environmental and climate protection \u201ceverywhere as a cross-cutting issue\u201d. In order to \u201cmake AI itself more sustainable<\/a>\u201d (Bj\u00f6rn Juretzki, EU Commission), experts underlined the need for sustainability regarding both products and services and discussed ideas such as the introduction of a Green AI label. In addition to that, Uta M\u00fchleis (RESET.org) emphasised<\/a> that energy consumption \u201cmust be kept within limits\u201d<\/a>. Anchoring sustainability at the core of business models and linking it closely to profitability<\/a> could be one approach to achieve this.
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\u27a1\ufe0f Watch the inputs from the roundtable on AI and sustainability as well as additional interviews with participants on our YouTube playlist<\/a> [in German, english subtitles provided].<\/figcaption><\/figure>\n\n\n\n

Diversity \u2013 uniting and moving Europe forward<\/strong><\/h3>\n\n\n\n

As the High Level Expert Group on AI declared: diversity and inclusion must play an essential role for the development of AI applications. In our fourth roundtable<\/a>, we examined the status quo of women in the field of AI and tech<\/strong> in general. Women are still underrepresented in the tech-domain. One hindering issue for women’s success is certainly the lack of female role models and diverse success stories<\/a>, as Tina Nord (ultimate.ai) pointed out. In the follow-up of this roundtable, we compiled a position paper<\/a> (in German only<\/em>), identifying the biggest challenges for women in AI and tech and discussed possible future steps. The paper presents the key claims as formulated by the participants, such as: \u201cAI visions and strategies also need to include intersectional perspectives\u201d and \u201cSocietal challenges call for societal discourses \u2013 not for technical solutions\u201d. It\u2019s available for download on our website<\/a>.<\/p>\n\n\n\n

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\u27a1\ufe0f Watch the inputs from the roundtable on AI and Women as well as additional interviews with participants on our YouTube playlist<\/a> [in German only].<\/figcaption><\/figure>\n\n\n\n

Together for AI for the common good<\/strong><\/h3>\n\n\n\n

In the coming years, the AI & Society Lab, as well as the newly established research group on Public Interest AI<\/a>, will keep on building networks around the topics the roundtables have addressed and around other related topics. In the spirit of experimentation, creativity and cooperation, we will continue to conduct research in a practical and application-oriented manner while fostering dialogues between politics, industry and civil society. Anyone with further inquiries or socially relevant questions revolving around these topics is very welcome to get in touch with us<\/a>. <\/p>\n\n\n\n

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This blog post first appeared on the <\/em>Futurium pages of the European Commission<\/em><\/a> on 26 February 2021 and is published here with kind permission.<\/em><\/p>\n