Format: One-minute presentations where everyone describes their research on a high level and describes the worst possible use of their research. After the presentations, we have a group discussion on possible ways to prevent or mitigate the worst usages. More info: Most of the research in WASP-HS is focused on integrating AI systems into society in a positive way. For example, by developing a method that makes an algorithm’s decisions more fair. However, such methods could potentially be turned upside down and lead to intentionally using AI systems for a bad cause. In the example, this could be done by using the same method to make the decisions more unfair. The aim of this workshop is to reflect on how our research could be used for a bad cause and to discuss possible methods to prevent and mitigate this.

Format: Bullet presentation in which participants discuss how transparency may be hampered in their project and the legal and ethical concerns resulting from this lack of transparency. This is followed by a roundtable discussion where we try to take a step back and look at the bigger picture. We might even explore some solutions to overcome the identified hurdles to transparency.

What benefits could AI technologies bring in fields such as history, archives, museums etc. to promote cultural heritage? Are AI technologies really suited for this? What are the dangers inherent in using AI technologies to promote human interests with their ethical considerations? Format: Debate forum, one side being for the idea of using AI technologies to preserve cultural heritage and one side against it.

We start with a short introduction by the leader of the workshop on what the aim is, and then move on to bullet presentations about our own topics and how we apply modelling - method/mindset/goals. Afterwards, we have a roundtable discussion where we try to try to come up with a format for a network (courses/workshops/collaborations) and how we want to organize the network (bimonthly meetings/annual meetings/journal club/presentation setup).

How do AI algorithms affect political communication? Can political discussion online be authentic in the age of generative algorithms? Does the presence of these technologies affect public trust? How can AI/algorithms contribute to understanding distribution of political knowledge? And how an interdisciplinary collaboration in this field would look? Afterwards, we have a roundtable discussion where we try to try to come up with a format for a network (courses/workshops/collaborations) and how we want to organize the network (bimonthly meetings/annual meetings/journal club/presentation setup).

This is workshop proposal that aims to intersect the fields of STS, design and technology making. It is informed by critical stances to data and knowledge making. Format: Open table discussion, collecting materials, stories and narratives from our fields. Crafting a collecting of our perspectives, maybe making a visual board on how the WASP-HS phd community approaches data - a fundamental notion for AI.