Tomasz Hollanek
Biographic Data
| ID | 9030405 |
|---|---|
| NAME | Tomasz Hollanek |
| GIVEN NAMES | Tomasz |
| FAMILY NAME | Hollanek |
| SIGNATURE | HOLLANEK T |
| AFFILIATIONS | University of Cambridge |
| ORCID | 0000-0002-5061-7442 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
AI, journalism, and critical AI literacy
This study explores the perspectives of media professionals on the concerns, needs, and responsibilities related to fostering AI literacy among journalists. We report on findings from two workshops with journalists (based in the USA, the UK, China, and India), as well as representatives of civil society organizations and academic specialists in media and AI literacy. Through a reflexive qualitative analysis of data collected during the workshops,…
Griefbots, Deadbots, Postmortem Avatars
To analyze potential negative consequences of adopting generative AI solutions in the digital afterlife industry (DAI), in this paper we present three speculative design scenarios for AI-enabled simulation of the deceased. We highlight the perspectives of the data donor, data recipient, and service interactant – terms we employ to denote those whose data is used to create ‘deadbots,’ those in possession of the donor’s data after their death, and …
AI transparency
In the late 2010s, various international committees, expert groups, and national strategy boards have voiced the demand to ‘open’ the algorithmic black box, to audit, expound, and demystify artificial intelligence. The opening of the algorithmic black box, however, cannot be seen only as an engineering challenge. In this article, I argue that only the sort of transparency that arises from critique—a method of theoretical examination that, by reve…
Cloud Ethics
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Cloud Ethics
AI transparency
In the late 2010s, various international committees, expert groups, and national strategy boards have voiced the demand to ‘open’ the algorithmic black box, to audit, expound, and demystify artificial intelligence. The opening of the algorithmic black box, however, cannot be seen only as an engineering challenge. In this article, I argue that only the sort of transparency that arises from critique—a method of theoretical examination that, by reve…
Griefbots, Deadbots, Postmortem Avatars
To analyze potential negative consequences of adopting generative AI solutions in the digital afterlife industry (DAI), in this paper we present three speculative design scenarios for AI-enabled simulation of the deceased. We highlight the perspectives of the data donor, data recipient, and service interactant – terms we employ to denote those whose data is used to create ‘deadbots,’ those in possession of the donor’s data after their death, and …
AI, journalism, and critical AI literacy
This study explores the perspectives of media professionals on the concerns, needs, and responsibilities related to fostering AI literacy among journalists. We report on findings from two workshops with journalists (based in the USA, the UK, China, and India), as well as representatives of civil society organizations and academic specialists in media and AI literacy. Through a reflexive qualitative analysis of data collected during the workshops,…
Ethics and Social Impacts of AI (4 works) · Computer Science (3 works) · Artificial Intelligence (2 works) · Data science (2 works) · Epistemology (2 works) · Philosophy (2 works) · Political science (2 works) · Sociology (2 works) · Afterlife (1 work) · Algorithm (1 work)