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P52


The Art and Politics of AI: Value Creation in the Digital Era 
Convenor:
Valentine Goddard (AI Impact Alliance)
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Format:
Panel
Sessions:
Thursday 9 June, -
Time zone: Europe/London

Short Abstract:

The ethics of Artificial Intelligence (AI) are political and navigate between well-intended hopes for the future and the troubled waters of power. This panel explores emerging currents in interdisciplinary machine learning design and best practices in the inter-arts of AI ethics, a creative path between art and law, where art interventions lead to a democratic governance of AI. These currents are intended to foster engagement in the envisioning of our collective futures, and lead towards equitable and sustainable value creation in digital economies and democracies.

Long Abstract:

The ethics of Artificial Intelligence (AI) are political and navigate between well-intended hopes for the future and the troubled waters of power. This panel explores emerging currents in interdisciplinary machine learning design and best practices in the inter-arts of AI ethics, a creative path between art and law, where art interventions lead to a democratic governance of AI. These currents are intended to foster engagement in the envisioning of our collective futures, and lead towards equitable and sustainable value creation in digital economies and democracies.

The discussion will be aimed at building upon the work from a growing community that is steering the use of AI towards sustainable and inclusive economic and democratic systems, while facing head-on the critical implications of a rapidly accelerating digitization. This panel hopes to shake historical power systems that reserve value creation derived from new technologies for a minority of stakeholders and explore how the arts can steer the use of AI towards more equitable and sustainable digital societies.

To achieve this ambitious goal, this panel welcomes transdisciplinary explorations aimed at the creation of a diverse and iterative understanding of the ethical, social, legal, cultural, economic, and political implications of AI. We invite submissions that address systemic barriers impeding the responsible development and governance of AI while proposing concrete solutions to issues such as (but not limited to): gendered and regional digital divides, underrepresentation of civil society in AI ethics guidelines, lack of interest, trust and/or capacity in data collaboratives.

Proposed solutions can be found at the creative intersection between new scientific orientations in machine learning design and emerging practices in the inter-arts of AI ethics. In line with STEAM-based approaches, these orientations and best practices argue that the arts, social sciences and humanities have the power to improve not only AI’s technical quality, but also, the democratic processes underlying a legitimate and fair governance of AI.

For these reasons, this panel is particularly interested in projects that focus on ethics, governance, human rights, climate action and other needed areas of social change, that:

• Avoid dystopia and foster a sense of "agency" or civic engagement.

• Proactively select methods that increase inclusion and diversity of perspectives in the

design team.

• Are political, adapted to social context.

• Create iterative environments, constructive dialogue.

• Facilitate collective learning.

• Inform public policy.

• Get out of “institutions” & favour public places.

• Recognize the plurality of knowledge sources in the co-construction, co-creation

processes that you might have used.

The criteria above are pulled from “Emerging scientific orientations in machine learning system design and curatorial best practices in artificial intelligence ethics”, Goddard (2022) based on the rationale that the arts are instrumental in shaping digital futures, are a tool for digital and scientific literacy, an effective means of civic engagement, and can inform public policy. In line with that purpose, this panel welcomes papers and projects that illustrate how the arts can intervene in the socio-technical pipeline, from data collection to algorithmic output. They can include games, interactive documentaries and new media, critical design and design informatics, data annotation applications, analog and digital art, social and cultural mediation.

Accepted papers:

Session 1 Thursday 9 June, 2022, -