An Ecosystem Approach to Ethical AI and Data Use: Experimental Reflections

Findlay, Mark; Seah, Josephine

doi:10.1109/ai4g50087.2020.9311069

Cited by 4 publications

(2 citation statements)

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“…Conceptualizing the emerging networks of RAI as an ecosystem is justified in light of the calls for multi-actor AI governance, the EU's aspirational RAI ecosystem, and the literature on ecosystems as multi-actor networks organized around a technological value proposition. Moreover, conceptualizing the networked interactions of AI actors as ecosystems is well established in the academic literature (Findlay & Seah, 2020;Stahl, 2021, p. 81) and policy and strategy papers (e.g., European Commission, 2020;OECD, 2019). The European ecosystem for RAI is at an early development stage despite increasing EU efforts in areas such as talent creation and infrastructure initiatives (Stix, 2019).…”

Section: Ecosystem For Responsible Aimentioning

confidence: 99%

Co-Shaping an Ecosystem for Responsible AI: Five Types of Expectation Work in Response to a Technological Frame

2022

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Governing artificial intelligence (AI) requires cooperation, although the collaboration’s form remains unclear. Technological frames provide a theoretical perspective for understanding how actors interpret a technology and act upon its development, use, and governance. However, we know little about how actors shape technological frames. In this paper, we study the shaping of the technological frame of the European ecosystem for responsible AI (RAI). Through an analysis of EU documents, we identified four expectations that constitute the EU’s technological frame for the RAI ecosystem. Moreover, through interviews with RAI actors, we revealed five types of expectation work responding to this frame: reproducing, translating, and extending (congruent expectation work), and scrutinizing and rooting (incongruent expectation work). Furthermore, we conceptualize expectation work as actors’ purposive actions in creating and negotiating expectations. Our study contributes to the literature on technological frames, technology-centered ecosystems, and RAI while also elucidating the dimensions and co-shaping of technological frames.

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Section: Ecosystem For Responsible Aimentioning

confidence: 99%

Co-Shaping an Ecosystem for Responsible AI: Five Types of Expectation Work in Response to a Technological Frame

2022

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“…A possible use of the systems concept to understand the way technology and social environments interact is that of an ecosystem. The metaphor of ecosystems to describe AI and its broader social and ethical consequences has already been employed widely by scholars [53] as well as policymakers. The European Commission, for example, in its White Paper (European [49] that prepared the proposed Regulation (European [50] framed European AI policy in terms of an ecosystem of excellence and an ecosystem of trust, with the latter representing ethical, social and legal concerns.…”

Section: Towards An Ethics Of Digital Ecosystemsmentioning

confidence: 99%

From computer ethics and the ethics of AI towards an ethics of digital ecosystems

Stahl

2021

AI Ethics

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Ethical, social and human rights aspects of computing technologies have been discussed since the inception of these technologies. In the 1980s, this led to the development of a discourse often referred to as computer ethics. More recently, since the middle of the 2010s, a highly visible discourse on the ethics of artificial intelligence (AI) has developed. This paper discusses the relationship between these two discourses and compares their scopes, the topics and issues they cover, their theoretical basis and reference disciplines, the solutions and mitigations options they propose and their societal impact. The paper argues that an understanding of the similarities and differences of the discourses can benefit the respective discourses individually. More importantly, by reviewing them, one can draw conclusions about relevant features of the next discourse, the one we can reasonably expect to follow after the ethics of AI. The paper suggests that instead of focusing on a technical artefact such as computers or AI, one should focus on the fact that ethical and related issues arise in the context of socio-technical systems. Drawing on the metaphor of ecosystems which is widely applied to digital technologies, it suggests preparing for a discussion of the ethics of digital ecosystems. Such a discussion can build on and benefit from a more detailed understanding of its predecessors in computer ethics and the ethics of AI.

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Trust and robotics: a multi-staged decision-making approach to robots in community

2023

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An Ecosystem Approach to Ethical AI and Data Use: Experimental Reflections

Cited by 4 publications

References 12 publications

Co-Shaping an Ecosystem for Responsible AI: Five Types of Expectation Work in Response to a Technological Frame

Co-Shaping an Ecosystem for Responsible AI: Five Types of Expectation Work in Response to a Technological Frame

From computer ethics and the ethics of AI towards an ethics of digital ecosystems

Trust and robotics: a multi-staged decision-making approach to robots in community

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