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Deciding vs. Choosing: AI and Learning
Deciding vs. Choosing: AI and Learning
I’m reading The AI Con right now, and it reminded me of a story I’d heard a long time ago about how Joseph Weizenbaum – inventor of Eliza which was one of the first chatbots &#821…
·practicaltheory.org·
Deciding vs. Choosing: AI and Learning
Asking a More Productive Question about AI and Assessment
Asking a More Productive Question about AI and Assessment
'Given that AI exists in the world, and that students are likely to use it (whether accidentally or on purpose), what evidence of learning would I now find persuasive?'
·link.springer.com·
Asking a More Productive Question about AI and Assessment
Digital ethicswashing: a systematic review and a process-perception-outcome framework - AI and Ethics
Digital ethicswashing: a systematic review and a process-perception-outcome framework - AI and Ethics

The term “ethicswashing” was recently coined to describe the phenomenon of instrumentalising ethics by misleading communication, creating the impression of ethical Artificial Intelligence (AI), while no substantive ethical theory, argument, or application is in place or ethicists involved. Ethicswashing resembles greenwashing for environmental issues and has become an issue – particularly since 2019 with Thomas Metzinger’s harsh criticisms as a member of the EU panel for developing ethical guidelines for AI, which he called “ethicswashing.” Nowadays, increased ethics washing has changed the perception of AI ethics, leading critics to find a “trivialization” of ethics that may even lead to “ethics bashing.”

Considering the scattered literature body and the various manifestations of digital ethicswashing, we recognise the need to assess the existing literature comprehensively. To fill this gap, this research systematically reviews current knowledge about digital ethicswashing stemming from various academic disciplines, contributing to an up-to-date assessment of its underlying characteristics. Applying content analysis to map the field leads us to present five thematic clusters: ethicswashing, ethics bashing, policymaking and regulation, watchdogs, and academia.

In conclusion, we synthesise ethicswashing along a process-perception-outcome framework to provide future research to explore the multiple meanings of digital ethicswashing.

The term “ethicswashing” was recently coined to describe the phenomenon of instrumentalising ethics by misleading communication, creating the impression of ethical Artificial Intelligence (AI), while no substantive ethical theory, argument, or application is in place or ethicists involved. Ethicswashing resembles greenwashing for environmental issues and has become an issue – particularly since 2019 with Thomas Metzinger’s harsh criticisms as a member of the EU panel for developing ethical guidelines for AI, which he called “ethicswashing.” Nowadays, increased ethics washing has changed the perception of AI ethics, leading critics to find a “trivialization” of ethics that may even lead to “ethics bashing.” Considering the scattered literature body and the various manifestations of digital ethicswashing, we recognise the need to assess the existing literature comprehensively. To fill this gap, this research systematically reviews current knowledge about digital ethicswashing stemming from various academic disciplines, contributing to an up-to-date assessment of its underlying characteristics. Applying content analysis to map the field leads us to present five thematic clusters: ethicswashing, ethics bashing, policymaking and regulation, watchdogs, and academia. In conclusion, we synthesise ethicswashing along a process-perception-outcome framework to provide future research to explore the multiple meanings of digital ethicswashing.
·link.springer.com·
Digital ethicswashing: a systematic review and a process-perception-outcome framework - AI and Ethics
AI Ethics, Ethics Washing, and the Need to Politicize Data Ethics
AI Ethics, Ethics Washing, and the Need to Politicize Data Ethics
Many commercial actors in the tech sector publish ethics guidelines as a means to ‘wash away’ concerns raised about their policies. For some academics, this phenomenon is reason to replace ethics with other tools and methods in an attempt to make sure that the tech sector does not cross any moral Rubicons. Others warn against the tendency to reduce a criticism of ‘ethics washing’ into one of ethics simpliciter. In this essay, I argue firstly that the dominant focus on principles, dilemmas, and theory in conventional ethical theories and practices could be an explanation of it lacking resistance to abuse by dominant actors, and hence its rather disappointing capacity to stop, redirect, or at least slow down big tech’s course. Secondly, drawing from research on casuistry and political philosopher Raymond Geuss, this essay will make a case for a question, rather than theory or principle-based ethical data practice. The emphasis of this approach is placed on the acquisition of a thorough understanding of a social-political phenomenon like tech development. This approach should be replenished with one extra component to the picture of the repoliticized data ethics drawn so far: the importance of ‘exemplars,’ or stories. Precisely the fact that one should acquire an in-depth understanding of the problem in practice will also allow one to look in the past, present, or future for similar and comparable stories from which one can learn.
·link.springer.com·
AI Ethics, Ethics Washing, and the Need to Politicize Data Ethics
Beyond Prompts—Critical Thinking Is Your Edge
Beyond Prompts—Critical Thinking Is Your Edge
Discover how critical thinking evolves in the age of AI. Learn tips to collaborate with AI, refine outputs, and harness the uniquely human advantage in an AI-driven world
·forbes.com·
Beyond Prompts—Critical Thinking Is Your Edge
AI Tools in Society: Impacts on Cognitive Offloading
AI Tools in Society: Impacts on Cognitive Offloading
The proliferation of artificial intelligence (AI) tools has transformed numerous aspects of daily life, yet its impact on critical thinking remains underexplored. This study investigates the relationship between AI tool usage and critical thinking skills, focusing on cognitive offloading as a mediating factor. Utilising a mixed-method approach, we conducted surveys and in-depth interviews with 666 participants across diverse age groups and educational backgrounds. Quantitative data were analysed using ANOVA and correlation analysis, while qualitative insights were obtained through thematic analysis of interview transcripts. The findings revealed a significant negative correlation between frequent AI tool usage and critical thinking abilities, mediated by increased cognitive offloading. Younger participants exhibited higher dependence on AI tools and lower critical thinking scores compared to older participants. Furthermore, higher educational attainment was associated with better critical thinking skills, regardless of AI usage. These results highlight the potential cognitive costs of AI tool reliance, emphasising the need for educational strategies that promote critical engagement with AI technologies. This study contributes to the growing discourse on AI’s cognitive implications, offering practical recommendations for mitigating its adverse effects on critical thinking. The findings underscore the importance of fostering critical thinking in an AI-driven world, making this research essential reading for educators, policymakers, and technologists.
·mdpi.com·
AI Tools in Society: Impacts on Cognitive Offloading
AI in Education – Policy Tracker
AI in Education – Policy Tracker
See the latest guidance and policies on AI in education from states in the U.S. and worldwide.
·teachai.org·
AI in Education – Policy Tracker
Are AI skills key for career prep in college?
Are AI skills key for career prep in college?
Colleges and universities are considering new ways to incorporate generative AI into teaching and learning, but not every student is on board with the tech yet. Experts weigh in on the necessity of AI in career preparation and higher education’s role in preparing students for jobs of the future.
·insidehighered.com·
Are AI skills key for career prep in college?
Will AI Remain on the “Contours” of Teaching?
Will AI Remain on the “Contours” of Teaching?
Recently, the distinguished schooling historian Larry Cuban gave an address in which he asserted that every new technology introduced to improve teaching and learning in schools has been hyped as “revolutionary” or “transformational” and that AI will join a long list of technolgies that never forced educators to rethink how teachers teach and students learn.
·tomstakesaitools.substack.com·
Will AI Remain on the “Contours” of Teaching?
Teachers ‘sceptical’ of AI benefits
Teachers ‘sceptical’ of AI benefits
Teachers are unsure about the ability of AI to cut their workload, a report finds - as the government spends millions on developing AI tools for schools
·tes.com·
Teachers ‘sceptical’ of AI benefits
Guidance for AI in Schools
Guidance for AI in Schools
ED is America’s education agency. We help students pay for school, support families, and give educators tools to do their jobs. We protect students' rights and make sure every American has equal access to an education.
·tech.ed.gov·
Guidance for AI in Schools
Post-AI Instructional Designer
Post-AI Instructional Designer
How the ID role is changing, and what this means for your key skills, roles & responsibilities
·drphilippahardman.substack.com·
Post-AI Instructional Designer
IS AI making us dumb?
IS AI making us dumb?
AI is saving money, time, and energy but in return it might be taking away one of the most precious natural gifts humans have.
·flip.it·
IS AI making us dumb?
AI Skepticism
AI Skepticism
An attempt to do justice to a diverse community
·buildcognitiveresonance.substack.com·
AI Skepticism
AI Literacy Curriculum
AI Literacy Curriculum
AI usage is now a required 21st Century skill. K12 Students need AI Literacy to get prepared to live and work in an AI-everywhere world. Learn more here.
·evergreened.org·
AI Literacy Curriculum
AI Disconnect
AI Disconnect
25% of the sessions at the biggest edtech conference in the US were about AI. How does that compare to the math, English, science, and administrator conferences?
·danmeyer.substack.com·
AI Disconnect