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Ethics and Information Technology, Volume 26
Volume 26, Number 1, March 2024
- Anna Mikhaylovskaya
, Élise Rouméas
Building trust with digital democratic innovations. 1 - Ariel Guersenzvaig
Can machine learning make naturalism about health truly naturalistic? A reflection on a data-driven concept of health. 2 - Andrea Aler Tubella
How to teach responsible AI in Higher Education: challenges and opportunities. 3 - Eleanor Drage, Kerry McInerney
Engineers on responsibility: feminist approaches to who's responsible for ethical AI. 4 - Thomas Montefiore
The conceptual exportation question: conceptual engineering and the normativity of virtual worlds. 5 - Benedetta Giovanola
Correction to: Weapons of moral construction? On the value of fairness in algorithmic decision-making. 6 - Aorigele Bao
Embracing grief in the age of deathbots: a temporary tool, not a permanent solution. 7 - Paula Helm
Diversity and language technology: how language modeling bias causes epistemic injustice. 8 - Michael Klenk
Ethics of generative AI and manipulation: a design-oriented research agenda. 9 - Miriam Gorr
Is moral status done with words? 10 - Otello Palmini
Design culture for Sustainable urban artificial intelligence: Bruno Latour and the search for a different AI urbanism. 11 - Tina Comes
AI for crisis decisions. 12 - Joris Graff
Moral sensitivity and the limits of artificial moral agents. 13 - J. K. G. Hopster
Socially disruptive technologies and epistemic injustice. 14 - Dirk Helbing
Why converging technologies need converging international regulation. 15 - Anantharaman Muralidharan
AI and the need for justification (to the patient). 16 - Chelsea Haramia
Intentional astrobiological signaling and questions of causal impotence. 17 - Samuela Marchiori
What is conceptual disruption? 18
Volume 26, Number 2, June 2024
- Isabelle Hupont
Use case cards: a use case reporting framework inspired by the European AI Act. 19 - Zachary Daus
Socializing the political: rethinking filter bubbles and social media with Hannah Arendt. 20 - Leonie Koessler
Fiduciary requirements for virtual assistants. 21 - Sabrina Blank
Tailoring responsible research and innovation to the translational context: the case of AI-supported exergaming. 22 - Paul Schütze
The impacts of AI futurism: an unfiltered look at AI's true effects on the climate crisis. 23 - Andrej J. Zwitter
Cybernetic governance: implications of technology convergence on governance convergence. 24 - Garry Young
The gamer's dilemma: an expressivist response. 25 - Markus Herrmann
Percentages and reasons: AI explainability and ultimate human responsibility within the medical field. 26 - Mark Alfano
Now you see me, now you don't: an exploration of religious exnomination in DALL-E. 27 - Mirjam Faissner
Detecting your depression with your smartphone? - An ethical analysis of epistemic injustice in passive self-tracking apps. 28 - Nathan Gabriel Wood
Explainable AI in the military domain. 29 - Mark Coeckelbergh
All too real metacapitalism: towards a non-dualist political ontology of metaverse. 30 - José M. Álvarez
Policy advice and best practices on bias and fairness in AI. 31 - Louis Rouillé
Ludic resistance: a new solution to the gamer's paradox. 32 - Björn Lundgren
Undisruptable or stable concepts: can we design concepts that can avoid conceptual disruption, normative critique, and counterexamples? 33 - Stefan Buijsman
Transparency for AI systems: a value-based approach. 34 - Francesca Trevisan
Deconstructing controversies to design a trustworthy AI future. 35 - Jacob Browning
Getting it right: the limits of fine-tuning large language models. 36 - Eva Pöll
Engineering the trust machine. Aligning the concept of trust in the context of blockchain applications. 37 - Michael Townsen Hicks
ChatGPT is bullshit. 38 - Morgan Luck
Can we solve the Gamer's Dilemma by resisting it? 39 - Timo Speith
Conceptualizing understanding in explainable artificial intelligence (XAI): an abilities-based approach. 40
Volume 26, Number 3, September 2024
- Richard Heersmink
A phenomenology and epistemology of large language models: transparency, trust, and trustworthiness. 41 - Simon W. S. Fischer
Negotiating becoming: a Nietzschean critique of large language models. 42 - András Miklós, Jeanine Miklós-Thal
The ethics of online steering. 43 - Luca Nannini
Mapping the landscape of ethical considerations in explainable AI research. 44 - Maren Behrensen
Technology and pronouns: disrupting the 'Natural Attitude about Gender'. 45 - Michael Townsen Hicks
Correction: ChatGPT is bullshit. 46 - Kristian Gonzalez Barman
Beyond transparency and explainability: on the need for adequate and contextualized user guidelines for LLM use. 47 - Andrew McStay
The hidden influence: exploring presence in human-synthetic interactions through ghostbots. 48 - Marten H. L. Kaas
The perfect technological storm: artificial intelligence and moral complacency. 49 - Nils Freyer
Easy-read and large language models: on the ethical dimensions of LLM-based text simplification. 50 - Patricia D. Reyes Benavides
Technologically mediated encounters with 'nature'. 51 - Lisa Herzog
Big data and the risk of misguided responsibilization. 52 - Martin Gibert
Should YouTube make recommendations for the climate? 53 - Catarina Fontes
Human digital twins unlocking Society 5.0? Approaches, emerging risks and disruptions. 54 - Elisabeth Stockinger
Trustworthiness of voting advice applications in Europe. 55 - Christine Boshuijzen-van Burken
A values-based approach to designing military autonomous systems. 56 - Margarita Boenig-Liptsin
Mechanic citizenship: Boston Mayor's Office of New Urban Mechanics and the constitution of digital citizens. 57 - Sofie Vlaad
A portrait of the artist as a young algorithm. 58 - Michael Hemmingsen
Framing the Gamer's Dilemma. 59 - Xiaomei Bi, Xingyuan Su, Xiaoyan Liu
An Ellulian analysis of propaganda in the context of generative AI. 60 - Oskar J. Gstrein
Data autonomy: beyond personal data abuse, sphere transgression, and datafied gentrification in smart cities. 61 - Sanad Aburass
Authenticity in authorship: the Writer's Integrity framework for verifying human-generated text. 62
Volume 26, Number 4, December 2024
- Alistair Knott, Dino Pedreschi, Toshiya Jitsuzumi, Susan Leavy, David Eyers, Tapabrata Chakraborti, Andrew Trotman, Sundar Sundareswaran, Ricardo Baeza-Yates, Przemyslaw Biecek, Adrian Weller, Paul D. Teal, Subhadip Basu, Mehmet Haklidir, Virginia Morini, Stuart Russell, Yoshua Bengio:
AI content detection in the emerging information ecosystem: new obligations for media and tech companies. 63 - Laurence Dierickx, Andreas Lothe Opdahl, Sohail Ahmed Khan, Carl-Gustav Linden, Diana Carolina Guerrero Rojas:
A data-centric approach for ethical and trustworthy AI in journalism. 64 - Herman Veluwenkamp, Jeroen Hopster, Sebastian Köhler, Guido Löhr:
Socially Disruptive Technologies and Conceptual Engineering. 65 - Michael Hemmingsen:
Correction: Framing the Gamer's Dilemma. 66
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