Rainer Mühlhoff
Biographic Data
| ID | 2744490 |
|---|---|
| NAME | Rainer Mühlhoff |
| GIVEN NAMES | Rainer |
| FAMILY NAME | Mühlhoff |
| SIGNATURE | MÜHLHOFF R |
| AFFILIATIONS | Osnabrück University |
| ORCID | 0000-0002-3936-9919 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 20 |
| AUTHOR COUNT | 10 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
From delegation to moral abdication: Classifying large language model uses by judgment and epistemic control
Ethical assessments of large language model (LLM) use are often organized around sectors, tasks, or abstract notions of societal risk. While valuable for governance and regulation, such classifications frequently fail to capture ethically salient differences between concrete practices of use. This paper develops a complementary, use-based taxonomy for analyzing LLM applications according to how judgment and epistemic authority are distributed bet…
Predictive privacy: Collective data protection in the context of artificial intelligence and big data
Big data and artificial intelligence pose a new challenge for data protection as these techniques allow predictions to be made about third parties based on the anonymous data of many people. Examples of predicted information include purchasing power, gender, age, health, sexual orientation, ethnicity, etc. The basis for such applications of "predictive analytics" is the comparison between behavioral data (e.g. usage, tracking, or activity data) o…
Social media advertising for clinical studies: Ethical and data protection implications of online targeting
Social media advertising has revolutionised the advertising world by providing data-driven targeting methods. One area where social media advertising is just gaining a foothold is in the recruitment of clinical study participants. Here, as everywhere, social media advertising promises more yield per money spent because the technology can better reach highly specialised groups. In this article, we point out severe societal risks posed by advertisi…
Predictive privacy: Towards an applied ethics of data analytics
Data analytics and data-driven approaches in Machine Learning are now among the most hailed computing technologies in many industrial domains. One major application is predictive analytics, which is used to predict sensitive attributes, future behavior, or cost, risk and utility functions associated with target groups or individuals based on large sets of behavioral and usage data. This paper stresses the severe ethical and data protection implic…
Affective Arrangements
We introduce the working concept of “affective arrangement.” This concept is the centerpiece of a perspective on situated affectivity that emphasizes relationality, dynamics, and performativity. Our proposal relates to work in cultural studies and continental philosophy in the Spinoza–Deleuze lineage, yet it is equally geared to the terms of recent work in the philosophy of emotion. Our aim is to devise a framework that can help flesh out how aff…
Affect
This chapter develops a Spinoza- and Deleuze-inspired understanding of affect as relational dynamics between bodies evolving in a setting, in contrast to approaches that see affect as inner states, feelings or emotions. “Affect” designates those encounters between bodies that involve a change – either enhancement or diminishment – in their respective bodily capacities or micro-powers. Thus, affect is inextricable from an approach to power, unders…
Human-aided artificial intelligence: Or, how to run large computations in human brains? Toward a media sociology of machine learning
Today, artificial intelligence (AI), especially machine learning, is structurally dependent on human participation. Technologies such as deep learning (DL) leverage networked media infrastructures and human-machine interaction designs to harness users to provide training and verification data. The emergence of DL is therefore based on a fundamental socio-technological transformation of the relationship between humans and machines. Rather than sim…
On right-wing movements, spheres, and resonances: An interview with Ben Anderson and Rainer Mühlhoff
This interview began in Hamburg and Berlin and continued virtually, as an active email exchange, between November 2017 and April 2018. Our conversation was sparked by the recent and ongoing turn to the right in global politics. It departs from exploring ‘affective modes of inquiry’, which our interview partners have applied in recent articles. We then move on to discuss the events of Brexit in the UK and the return of the far right to German Parl…
Affektive Relationalität. Umrisse eines philosophischen Forschungsprogramms
Decarbonizing urban transport in European cities: Four cases show possibly high co-benefits
Cities worldwide are increasingly becoming agents of climate change mitigation, while simultaneously aiming for other goals, such as improved accessibility and clean air. Based on stakeholder interviews and data analysis, we assess the current state of urban mobility in the four European cities of Barcelona, Malmö, Sofia and Freiburg. We then provide scenarios of increasingly ambitious policy packages, reducing greenhouse gas emissions from urban…
Human-aided artificial intelligence: Or, how to run large computations in human brains? Toward a media sociology of machine learning
Today, artificial intelligence (AI), especially machine learning, is structurally dependent on human participation. Technologies such as deep learning (DL) leverage networked media infrastructures and human-machine interaction designs to harness users to provide training and verification data. The emergence of DL is therefore based on a fundamental socio-technological transformation of the relationship between humans and machines. Rather than sim…
On right-wing movements, spheres, and resonances: An interview with Ben Anderson and Rainer Mühlhoff
This interview began in Hamburg and Berlin and continued virtually, as an active email exchange, between November 2017 and April 2018. Our conversation was sparked by the recent and ongoing turn to the right in global politics. It departs from exploring ‘affective modes of inquiry’, which our interview partners have applied in recent articles. We then move on to discuss the events of Brexit in the UK and the return of the far right to German Parl…
Social media advertising for clinical studies: Ethical and data protection implications of online targeting
Social media advertising has revolutionised the advertising world by providing data-driven targeting methods. One area where social media advertising is just gaining a foothold is in the recruitment of clinical study participants. Here, as everywhere, social media advertising promises more yield per money spent because the technology can better reach highly specialised groups. In this article, we point out severe societal risks posed by advertisi…
Decarbonizing urban transport in European cities: Four cases show possibly high co-benefits
Cities worldwide are increasingly becoming agents of climate change mitigation, while simultaneously aiming for other goals, such as improved accessibility and clean air. Based on stakeholder interviews and data analysis, we assess the current state of urban mobility in the four European cities of Barcelona, Malmö, Sofia and Freiburg. We then provide scenarios of increasingly ambitious policy packages, reducing greenhouse gas emissions from urban…
Affektive Relationalität. Umrisse eines philosophischen Forschungsprogramms
On right-wing movements, spheres, and resonances: An interview with Ben Anderson and Rainer Mühlhoff
This interview began in Hamburg and Berlin and continued virtually, as an active email exchange, between November 2017 and April 2018. Our conversation was sparked by the recent and ongoing turn to the right in global politics. It departs from exploring ‘affective modes of inquiry’, which our interview partners have applied in recent articles. We then move on to discuss the events of Brexit in the UK and the return of the far right to German Parl…
Affective Arrangements
We introduce the working concept of “affective arrangement.” This concept is the centerpiece of a perspective on situated affectivity that emphasizes relationality, dynamics, and performativity. Our proposal relates to work in cultural studies and continental philosophy in the Spinoza–Deleuze lineage, yet it is equally geared to the terms of recent work in the philosophy of emotion. Our aim is to devise a framework that can help flesh out how aff…
Affect
This chapter develops a Spinoza- and Deleuze-inspired understanding of affect as relational dynamics between bodies evolving in a setting, in contrast to approaches that see affect as inner states, feelings or emotions. “Affect” designates those encounters between bodies that involve a change – either enhancement or diminishment – in their respective bodily capacities or micro-powers. Thus, affect is inextricable from an approach to power, unders…
Human-aided artificial intelligence: Or, how to run large computations in human brains? Toward a media sociology of machine learning
Today, artificial intelligence (AI), especially machine learning, is structurally dependent on human participation. Technologies such as deep learning (DL) leverage networked media infrastructures and human-machine interaction designs to harness users to provide training and verification data. The emergence of DL is therefore based on a fundamental socio-technological transformation of the relationship between humans and machines. Rather than sim…
Predictive privacy: Towards an applied ethics of data analytics
Data analytics and data-driven approaches in Machine Learning are now among the most hailed computing technologies in many industrial domains. One major application is predictive analytics, which is used to predict sensitive attributes, future behavior, or cost, risk and utility functions associated with target groups or individuals based on large sets of behavioral and usage data. This paper stresses the severe ethical and data protection implic…
Predictive privacy: Collective data protection in the context of artificial intelligence and big data
Big data and artificial intelligence pose a new challenge for data protection as these techniques allow predictions to be made about third parties based on the anonymous data of many people. Examples of predicted information include purchasing power, gender, age, health, sexual orientation, ethnicity, etc. The basis for such applications of "predictive analytics" is the comparison between behavioral data (e.g. usage, tracking, or activity data) o…
Social media advertising for clinical studies: Ethical and data protection implications of online targeting
Social media advertising has revolutionised the advertising world by providing data-driven targeting methods. One area where social media advertising is just gaining a foothold is in the recruitment of clinical study participants. Here, as everywhere, social media advertising promises more yield per money spent because the technology can better reach highly specialised groups. In this article, we point out severe societal risks posed by advertisi…
From delegation to moral abdication: Classifying large language model uses by judgment and epistemic control
Ethical assessments of large language model (LLM) use are often organized around sectors, tasks, or abstract notions of societal risk. While valuable for governance and regulation, such classifications frequently fail to capture ethically salient differences between concrete practices of use. This paper develops a complementary, use-based taxonomy for analyzing LLM applications according to how judgment and epistemic authority are distributed bet…
Computer Science (5 works) · Data science (4 works) · Psychology (4 works) · Big data (3 works) · Data mining (3 works) · Ethics and Social Impacts of AI (3 works) · Information privacy (3 works) · Internet privacy (3 works) · Philosophy (3 works) · Posthumanist Ethics and Activism (3 works)