Tobias Matzner
Biographic Data
| ID | 296682 |
|---|---|
| NAME | Tobias Matzner |
| GIVEN NAMES | Tobias |
| FAMILY NAME | Matzner |
| SIGNATURE | MATZNER T |
| AFFILIATIONS | Paderborn University |
| ORCID | 0000-0002-1439-2418 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 47 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 1 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 4 |
The Routledge Handbook of Political Phenomenology
"Phenomenology has primarily been concerned with conceptual questions about knowledge and ontology. However, in recent years the rise of interest and research in applied phenomenology has seen the study of political phenomenology move to a central place in the study of phenomenology generally. The Routledge Handbook of Political Phenomenology is the first major collection on this important topic. Comprising 35 chapters by an international team of…
Co-addictive human–machine configurations
Next to popular term Internet addiction, problematic Internet use (PIU) has established itself as an umbrella term for all types of repetitive impairing behaviors associated with new media technologies. Yet, debates about categorization, prevention, and treatment are nowhere near settled. When it comes to classification, medical-psychiatric research has so far retained authority. Here, PIU is examined primarily at the level of the individual user…
Algorithms as complementary abstractions
The text diagnoses two opposing tendencies in the research on algorithms: the first abstracts and unites heterogeneous developments under the term “algorithm”; the second emphasizes specifics such as data sets, material conditions, software libraries, interfaces, and so on, thus dissolving that which apparently algorithms do into more fine-grained analyses. The text proposes a research perspective that resolves this tension by conceiving of algor…
Privatsphäre 4.0
Challenging algorithmic profiling
The potential for biases being built into algorithms has been known for some time (e.g., Friedman and Nissenbaum, 1996), yet literature has only recently demonstrated the ways algorithmic profiling can result in social sorting and harm marginalised groups (e.g., Browne, 2015; Eubanks, 2018; Noble, 2018). We contend that with increased algorithmic complexity, biases will become more sophisticated and difficult to identify, control for, or contest.…
The Human Is Dead - Long Live the Algorithm! Human-Algorithmic Ensembles and Liberal Subjectivity
The article analyzes the relation of humans and technology concerning so called 'intelligent' or 'autonomous' algorithms that are applied in everyday contexts but are far removed from any form of substantial artificial intelligence. In particular, the use of algorithms in surveillance and in architecture is discussed. These examples are structured by a particular combination of continuity and difference between humans and technology. The article …
Opening Black Boxes Is Not Enough – Data-based Surveillance In Discipline and Punish And Today
Discipline and Punish analyzes the role of collecting, managing, and operationalizing data in disciplinary institutions. Foucault’s discussion is compared to contemporary forms of surveillance and security practices using algorithmic data processing. The article highlights important similarities and differences regarding the way data processing plays a part in subjectivation. This is also compared to Deleuzian accounts and Foucault’s later discus…
The model gap
Beyond data as representation
The article discusses problems of representative views of data and elaborates a concept of the performativity of data. It shows how data used for surveillance contributes in creating suspect subjectivities. In particular, the article focuses on the inductive or explorative processing of data and on the decoupling of data generation and analysis that characterize current use of data for surveillance. It lines out several challenges this poses to e…
Beyond data as representation
The article discusses problems of representative views of data and elaborates a concept of the performativity of data. It shows how data used for surveillance contributes in creating suspect subjectivities. In particular, the article focuses on the inductive or explorative processing of data and on the decoupling of data generation and analysis that characterize current use of data for surveillance. It lines out several challenges this poses to e…
The Human Is Dead - Long Live the Algorithm! Human-Algorithmic Ensembles and Liberal Subjectivity
The article analyzes the relation of humans and technology concerning so called 'intelligent' or 'autonomous' algorithms that are applied in everyday contexts but are far removed from any form of substantial artificial intelligence. In particular, the use of algorithms in surveillance and in architecture is discussed. These examples are structured by a particular combination of continuity and difference between humans and technology. The article …
Challenging algorithmic profiling
The potential for biases being built into algorithms has been known for some time (e.g., Friedman and Nissenbaum, 1996), yet literature has only recently demonstrated the ways algorithmic profiling can result in social sorting and harm marginalised groups (e.g., Browne, 2015; Eubanks, 2018; Noble, 2018). We contend that with increased algorithmic complexity, biases will become more sophisticated and difficult to identify, control for, or contest.…
Algorithms as complementary abstractions
The text diagnoses two opposing tendencies in the research on algorithms: the first abstracts and unites heterogeneous developments under the term “algorithm”; the second emphasizes specifics such as data sets, material conditions, software libraries, interfaces, and so on, thus dissolving that which apparently algorithms do into more fine-grained analyses. The text proposes a research perspective that resolves this tension by conceiving of algor…
Co-addictive human–machine configurations
Next to popular term Internet addiction, problematic Internet use (PIU) has established itself as an umbrella term for all types of repetitive impairing behaviors associated with new media technologies. Yet, debates about categorization, prevention, and treatment are nowhere near settled. When it comes to classification, medical-psychiatric research has so far retained authority. Here, PIU is examined primarily at the level of the individual user…
The model gap
Beyond data as representation
The article discusses problems of representative views of data and elaborates a concept of the performativity of data. It shows how data used for surveillance contributes in creating suspect subjectivities. In particular, the article focuses on the inductive or explorative processing of data and on the decoupling of data generation and analysis that characterize current use of data for surveillance. It lines out several challenges this poses to e…
Opening Black Boxes Is Not Enough – Data-based Surveillance In Discipline and Punish And Today
Discipline and Punish analyzes the role of collecting, managing, and operationalizing data in disciplinary institutions. Foucault’s discussion is compared to contemporary forms of surveillance and security practices using algorithmic data processing. The article highlights important similarities and differences regarding the way data processing plays a part in subjectivation. This is also compared to Deleuzian accounts and Foucault’s later discus…
Privatsphäre 4.0
Challenging algorithmic profiling
The potential for biases being built into algorithms has been known for some time (e.g., Friedman and Nissenbaum, 1996), yet literature has only recently demonstrated the ways algorithmic profiling can result in social sorting and harm marginalised groups (e.g., Browne, 2015; Eubanks, 2018; Noble, 2018). We contend that with increased algorithmic complexity, biases will become more sophisticated and difficult to identify, control for, or contest.…
The Human Is Dead - Long Live the Algorithm! Human-Algorithmic Ensembles and Liberal Subjectivity
The article analyzes the relation of humans and technology concerning so called 'intelligent' or 'autonomous' algorithms that are applied in everyday contexts but are far removed from any form of substantial artificial intelligence. In particular, the use of algorithms in surveillance and in architecture is discussed. These examples are structured by a particular combination of continuity and difference between humans and technology. The article …
Algorithms as complementary abstractions
The text diagnoses two opposing tendencies in the research on algorithms: the first abstracts and unites heterogeneous developments under the term “algorithm”; the second emphasizes specifics such as data sets, material conditions, software libraries, interfaces, and so on, thus dissolving that which apparently algorithms do into more fine-grained analyses. The text proposes a research perspective that resolves this tension by conceiving of algor…
Co-addictive human–machine configurations
Next to popular term Internet addiction, problematic Internet use (PIU) has established itself as an umbrella term for all types of repetitive impairing behaviors associated with new media technologies. Yet, debates about categorization, prevention, and treatment are nowhere near settled. When it comes to classification, medical-psychiatric research has so far retained authority. Here, PIU is examined primarily at the level of the individual user…
The Routledge Handbook of Political Phenomenology
"Phenomenology has primarily been concerned with conceptual questions about knowledge and ontology. However, in recent years the rise of interest and research in applied phenomenology has seen the study of political phenomenology move to a central place in the study of phenomenology generally. The Routledge Handbook of Political Phenomenology is the first major collection on this important topic. Comprising 35 chapters by an international team of…
Epistemology (8 works) · Computer Science (7 works) · Sociology (6 works) · Artificial Intelligence (5 works) · Ethics and Social Impacts of AI (5 works) · Political science (5 works) · Law (4 works) · Algorithm (3 works) · Data science (3 works) · Psychology (3 works)