Artificial Intelligence

And the final speakers at the Bots Building Bridges workshop project are Mathias Orlikowski and Tony Veale, who begin by noting that bots can have a positive impact on online discussion by facilitating an increase in viewpoint diversity. Such bots might emphasise rational debate, but could also introduce more humorous perspectives.

One example of a polarised debate in Germany is the ongoing discussion about the introduction of a stricter speed limit on German freeways; in online discussions about this, a discussion bot could intervene by presenting an opposite point of view. Some such arguments could be pre-written responses to well-known …

The next speakers at the Bots Building Bridges project workshop are Zlata Kikteva and Arthur Romazanov, representing the DeLab (or Deliberation Laboratory) team at the University of Passau. Their team has developed a bot to take on moderation tasks.

This builds on research by members of the team on how humans moderate online discussions, which has explored key moderation strategies – soft moderation such as probing for elaborations, tone policing, social norm policing, agenda control, fact-checking, inviting experts top contribute; as well as hard moderation such as removing content and users from the discussion.

But can we delegate such moderation …

The next speakers in this Bots Building Bridges workshop session are Ozgur Can Seckin and Bao Truong, who begin by outlining the issue of political polarisation – especially in the United States. They distinguish between polarisation on specific issues on the one hand, and affective polarisation between the partisans supporting various political groups on the other; this latter form of polarisation is therefore a problem of in-group and out-group exposure and engagement.

Some approaches have sought to address this by increasing exposure to out-group content and perspectives; some have attempted to encourage people to imagine the views of the other …

The workshop of the Bots Building Bridges project in Bielefeld continues with a final session for today, which starts with Christian Grimme. His focus is on the role of AI in creating as well as fighting artificial communication. Artificial agents – bots – are not new, of course: there were email bots, Twitter bots, and there are many other forms of social bots, which are now also increasingly integrated with and driven by Large Language Models. There are also prosocial bots which are used to counter more problematic bots.

Automation can mean various things, though. Closed-loop systems use feedback mechanisms …

I’m in Berlin this week for the annual conference of the excellent Weizenbaum-Institut, which opens with a keynote by the great Claes de Vreese, whose keynote asks whether citizens are ready for an AI democracy (it won’t surprise anyone that the short answer is No). Democracy and politics are rapidly transforming at the present moment; democracy is under threat from populist and far-right movements and various other actors, and there are widespread concerns about democratic backsliding around the world. In a reversal of trends in the 1990s and 200os, the number of true democracies in the world is shrinking …

The final speaker in this ACSPRI 2024 conference session is Aaron Willcox, presenting work with the Scanlon Research Institute to explore local government-level civic opportunities. For organisations, such opportunities include hosting events, offering memberships, involving individuals through volunteering, and taking action through advocacy and campaigns.

The project used the Australian Charities and Not-for-Profits Commission database, which contains valid information on the activities of some 30,000 charities around the country; it used Web scraping and human coding to identify civic activities, and utilised Large Language Models to directly code the data as well as to emulate the coding process of human …

The next speaker in this ACSPRI 2024 conference is Gia Bao Hoang, whose interest is in the use of LLMs for detecting efficient persuasion in online discourse. Such an understanding of effective persuasion could then be used for productive and prosocial purposes, or alternatively to identify problematic uses of persuasion by bad actors.

For this analysis, Bao is using data from the Change My View subreddit, where users clearly indicate whether the arguments made have actually changed their minds; and the Truth Wins dataset, which stems from human experiments and contains human-labelled data from persuasion and attention games. He used …

The next speaker in this ACSPRI 2024 conference session is Sair Buckle, whose interest is in the use of Large Language Models to detect bullying language in organisational contexts. Bullying is of course a major societal problem, including in companies, and presents a psychosocial hazard: there are several proposed approaches to address it, including surveys and interviews and manual linguistic classification (e.g. in federal parliament), which are subjective and manually intensive; pulse surveys and self-labelling questionnaires (e.g. in companies), which are subjective and limited in their data access; and there are technology-first approaches using LLMs and machine learning to detect …