Kimon Kieslich

• PhD
• Postdoctoral Researcher at University of Amsterdam

Despite the immense societal importance of ethically designing artificial intelligence, little research on the public perceptions of ethical artificial intelligence principles exists. This becomes even more striking when considering that ethical artificial intelligence development has the aim to be human-centric and of benefit for the whole society...

Building and implementing ethical AI systems that benefit the whole society is cost-intensive and a multi-faceted task fraught with potential problems. While on one hand there are technical solutions to mitigate social problems, on the other hand, citizen perceptions can lead to social and political demands that influence the social implementation...

The tremendous rise of generative AI has reached every part of society—including the news environment. There are many concerns about the individual and societal impact of the increasing use of generative AI, including issues such as disinformation and misinformation, discrimination, and the promotion of social tensions. However, research on anticip...

Scenario building is an established method to anticipate the future of emerging technologies. Its primary goal is to use narratives to map future trajectories of technology development and sociotechnical adoption. Following this process, risks and benefits can be identified early on, and strategies can be developed that strive for desirable futures...

News organisations are experimenting with how to best integrate generative AI into their journalistic workflows. This brings up important questions about how to disclose this, as well as what effects such AI disclosures have on readers. Prior research shows predominantly negative effects on perceived trustworthiness and credibility, but says little...

Anticipating the impacts of new technology in society is at the crux of efforts to understand, advance, and govern its safety. However, doing so is fundamentally difficult. The evolution of various technical, social, policy conditions can modulate the direction of sociotechnical development in uncertain ways. But with prospections of the future com...

Regulators and policy makers around the world have endorsed risk-based approaches for governing the challenges and opportunities from Artificial Intelligence (AI). In theory, these assessments should protect the public from the harmful impacts of AI, thus safeguarding important societal values such as the realization of fundamental rights. However,...

The potential for negative impacts of AI has rapidly become more pervasive around the world, and this has intensified a need for responsible AI governance. While many regulatory bodies endorse risk-based approaches and a multitude of risk mitigation practices are proposed by companies and academic scholars, these approaches are commonly expert-cent...

Emerging AI technologies have the potential to drive economic growth and innovation but can also pose significant risks to society. To mitigate these risks, governments, companies, and researchers have contributed regulatory frameworks, risk assessment approaches, and safety benchmarks, but these can lack nuance when considered in global deployment...

AI-based technologies are having an increasing impact on society, which naturally raises the question of how this technology will be addressed politically. Thereby, political actors have a dual role to play: They can provide investment to enhance the efficiency and usage of these systems in different societal areas while also bearing the responsibi...

There is consensus that algorithmic news recommenders should be explainable to inform news readers of potential risks. However, debates continue over which information users need and which stakeholders should access this information. As the debate continues, researchers also call for more control over algorithmic news recommenders' systems, for exa...

Expert-driven frameworks for impact assessments (IAs) may inadvertently overlook the effects of AI technologies on the public's social behavior, policy, and the cultural and geographical contexts shaping the perception of AI and the impacts around its use. This research explores the potentials of fine-tuning LLMs on negative impacts of AI reported...

Impact assessments have emerged as a common way to identify the negative and positive implications of AI deployment, with the goal of avoiding the downsides of its use. It is undeniable that impact assessments are important - especially in the case of rapidly proliferating technologies such as generative AI. But it is also essential to critically i...

The rapid advancement of AI technologies yields numerous future impacts on individuals and society. Policymakers are tasked to react quickly and establish policies that mitigate those impacts. However, anticipating the effectiveness of policies is a difficult task, as some impacts might only be observable in the future and respective policies might...

Artificial Intelligence (AI) has a tremendous impact on society. While artificial intelligence encompasses a variety of different systems, algorithmic decision-making (ADM) systems in particular are being used to augment or even replace human decision-making. Because ADM systems are susceptible to ethical ramifications, such as fairness issues, opa...

The rapid advancement of AI technologies yields numerous future impacts on individuals and society. Policy-makers are therefore tasked to react quickly and establish policies that mitigate those impacts. However, anticipating the effectiveness of policies is a difficult task, as some impacts might only be observable in the future and respective pol...

Digital technologies offer new communicative affordances to fight corruption. Bottom-up efforts increasingly use algorithmic tools, i.e., bots, to automate corruption reporting on social media platforms. This study investigates how to design a bot to effectively and responsibly mobilize people for collective action against corruption. In a large (n...

Media Coverage of Artificial Intelligence. A topic analysis of German media coverage on artificial intelligence. German media coverage of AI breaks down into 25 topics. While these are broad, an economic perspective on AI dominates. The thematic focus differs between media genres. In addition, the reporting is strongly occasion-driven.

Der Meinungsmonitor Künstliche Intelligenz [MeMo:KI] erforscht in einer Säule des Projektes die mediale Berichterstattung zu KI. In diesem Factsheet präsentieren wir eine Themenanalyse der Berichterstattung der reichweitenstärksten deutschen regionalen und überregionalen Medien sowie der Fachmedien aus dem Zeitraum 2018 bis 2021. Dafür wurden insge...

One pillar of the Opinion Monitor Artificial Intelligence [MeMo:KI] project explores media coverage of AI. In this factsheet, we present a topic analysis of the coverage of AI by the highest-circulation regional and national media, as well as specialist news media, in Germany from 2018 to 2021. To do so, we used an automated content analysis to eva...

Building and implementing ethical AI systems that benefit the whole society is cost-intensive and a multi-faceted task fraught with potential problems. While computer science focuses mostly on the technical questions to mitigate social issues, social science addresses citizens' perceptions to elucidate social and political demands that influence th...

Algorithmische Empfehlungssysteme werden von einer Mehrheit der Bevölkerung regelmäßig genutzt. Die Empfehlungen basieren in der Regel auf großen Datenmengen, die über die Nutzer*innen gesammelt werden. Sie werden regelgeleitet sowie teilweise selbstlernend ausgewertet. Forschung zum sogenannten Automation Bias geht davon aus, dass Menschen dazu ne...

In combating the ongoing global health threat of the COVID-19 pandemic, decision-makers have to take actions based on a multitude of relevant health data with severe potential consequences for the affected patients. Because of their presumed advantages in handling and analyzing vast amounts of data, computer systems of algorithmic decision-making (...

In a special survey, the opinion monitor artificial intelligence (Meinungsmonitor Künstliche Intelligenz [MeMo:KI]) investigated how the German population perceives the relation between artificial intelligence (AI) and environmental sustainability. By and large, a view of AI that sees it as part of the solution rather than part of the problem predo...

Im Rahmen einer Sonderbefragung widmet sich der MeMo:KI der Wahrnehmung der deutschen Bevölkerung zum Zusammenhang von Künstlicher Intelligenz (KI) und ökologischer Nachhaltigkeit. Insgesamt überwiegt eine Perspektive auf KI, die diese eher als Teil der Lösung, denn als Teil des Problems sieht: KI sei demnach eher eine Chance für das Erreichen ökol...

In a special survey, the opinion monitor artificial intelligence (Meinungsmonitor Künstliche Intelligenz [MeMo:KI]) investigated how the German population perceives the relation between artificial intelligence (AI) and environmental sustainability. By and large, a view of AI that sees it as part of the solution rather than part of the problem predo...

Dieses Skript führt in die sozialwissenschaftliche Datenanalyse mit dem Statistikprogramm R ein. Es vermittelt die Grundlagen des Programms sowie den Umgang mit sozialwissenschaftlichen Daten, vor allem mit aus Umfragen generierten Daten. Neben der Datenaufbereitung umfasst das Skript die deskriptive und multivariate Datenanalyse. Zudem werden die...

In recent years Artificial Intelligence (AI) has gained much popularity, with the scientific community as well as with the public. Often, AI is ascribed many positive impacts for different social domains such as medicine and the economy. On the other side, there is also growing concern about its precarious impact on society and individuals, respect...

Many people engage in extensive use of networked digital systems despite concerns over their privacy, a phenomenon called the “online privacy paradox.” Although privacy calculus research has argued that the benefits of usage usually outweigh the expected privacy losses, it is unclear why people come to this conclusion. We argue that users treat dec...

In combating the ongoing global health threat of the Covid-19 pandemic, decision-makers have to take actions based on a multitude of relevant health data with severe potential consequences for the affected patients. Because of their presumed advantages in handling and analyzing vast amounts of data, computer systems of automated decision-making (AD...

Despite the immense societal importance of ethically designing artificial intelligence (AI), little research on the public perceptions of ethical AI principles exists. This becomes even more striking when considering that ethical AI development has the aim to be human-centric and of benefit for the whole society. In this study, we investigate how e...

Algorithmic recommendation systems are regularly used by a majority of the population. The recommendations given are usually based on large amounts of data collected about users. The evaluation of the data takes place both on a supervised basis and as part of a self-learning process. Research on the so-called automation bias assumes that people ten...

Algorithmic recommendation systems are regularly used by a majority of the population. The recommendations given are usually based on large amounts of data collected about users. The evaluation of the data takes place both on a supervised basis and as part of a self-learning process. Research on the so-called automation bias assumes that people ten...

The term Media Populism is used to indicate a ‘involuntary complicity’ between news media and populist movements based on the convergence of commercial media logic and populist communication style. It grants populists and their messages a high degree of media visibility. According to the literature, this applies more to tabloid media and infotainme...

The fear of losing one´s job due to increasing automation of processes and the implementation of artificial intelligence (AI) is considered the overarching concern for employees when they ponder the effects of digitization. The following survey shows that these representations only reflect the actual concerns of the respondents to a limited extent....

Discrimination through Artificial Intelligence (AI) is generally only perceived as a moderate risk by the population. However, when it comes to negative consequences for the economy, the use of AI is viewed rather critically. Many citizens would like to see stronger regulation of AI.

In recent years Artificial Intelligence (AI) has gained much popularity, with the scientific community as well as with the public. AI is often ascribed many positive impacts for different social domains such as medicine and the economy. On the other side, there is also growing concern about its precarious impact on society and individuals. Several...

Terrorism, poverty, cancer: Citizens fear many things. Some of these fears are fueled by fear-related news as a form of sensational media coverage. As research on the variety of fears depicted in the news is scarce, this study analyzes the construction of fear-related news in the US and the UK from 1990 to 2017. By combining unsupervised machine le...

The digitalization of work may lead to massive job losses in near future. However, public opinion polls show, that concerns regarding losing one’s job are currently quite low. I argue that this gap is explainable through simply framing this development as “digitalization”, which is a highly positive connoted term in German media landscape. In contr...