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License: CC BY
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Data sources: Datacite
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Spotlight on KT4D Webinar Highlights: Webinar: Exploring the Benefits and Challenges of AI and Big Data for a more Inclusive Civic Participation

Authors: Quattrocchi, Gabriele; Ahern, Joanne; Castleberry, Matilde;

Spotlight on KT4D Webinar Highlights: Webinar: Exploring the Benefits and Challenges of AI and Big Data for a more Inclusive Civic Participation

Abstract

This report spotlights the main highlights of the first webinar organised by te Horizon Europe Project KT4D. The event explored how KT4D is connecting with its stakeholders to promote technology design that prioritises human well-being, inclusivity, ethical and democratic principles. In an era where Artificial Intelligence (AI) and Big Data have become inseparable from our daily lives, their influence on democratic governance is profound. These technologies hold the potential to revolutionise the way societies engage in democratic processes, making governance more accessible, efficient, and responsive to people's needs. However, they also present unique challenges, including issues of bias, privacy, and transparency, which must be addressed to ensure a fair and inclusive democracy. The Knowledge Technologies for Democracy (KT4D) project recognises both the promise and the pitfalls of AI and Big Data in democratic societies. At its core, KT4D is dedicated to harnessing the power of these Knowledge Technologies in a human-centric and ethical manner, promoting technology that truly serves the interests of the people while respecting their rights and values.

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Keywords

Big Data, Knowledge Technologies, Civic Participation, AI, Democracy

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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