Speakers:
The development of artificial intelligence (AI)\, part icularly generative AI\, is closely linked to the collection\, processing\ , and large-scale training of data. At times described as “the new oil\, ” such datasets have yielded significant economic value and power for ma jor tech firms. These companies are not the only ones collecting data from users’ interactions with digital platforms: governments\, research inst itutions\, and industries also rely on vast quantities of data to improve their administrative\, scientific\, or commercial systems and services.
What has changed in recent years is how the availability of “big dat a” has driven the development of new algorithms now used to train genera tive AI. Rather than simply predicting patterns or behaviors for decision- making\, these systems learn from data to generate ‘new’ content. Howe ver\, they are ill equipped to distinguish between reliable and questionab le information\, between fact and mere opinion. With their increasing pres ence in our homes\, workplaces and the public realm\, how can we prevent t hem from blurring the line between information and disinformation?
T he third TASTE talk aims to playfully and critically unpack the underlying mechanisms\, structures\, and risks that these so-called “black boxes ” may pose to our democratic societies.
Muda m is our host for TASTE talk 3.
Feel free to arrive earlier and visi t the current exhibitions at the MUDAM
“T ransforming through art science and technology” is a new project initiat ed by the University of Luxembourg – Espace Cultures..
In this new series of talks\, Anouk Wies and Na thalie Kerschen bring together scientists\, artists\, and stakeholders fro m the cultural and creative sector\, to discuss their experiences with\, a nd the impact of transdisciplinary projects. These encounters aim to provi de insight\, inspire dialogue and foster societal change.
.With the support of Amis de l'Université and Fondation Loutsch-Weydert
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