an autistic perspective of death…
We've all experienced loss, and many know someone who is Neurodivergent or Autistic. Ever wonder why it takes longer for someone on the Spectrum to recover from loss, especially death? Here's some insight into those unseen struggles.https://thedignityofman.net/2026/03/23/an-autistic-perspective-of-death-2/
RE: https://social.tchncs.de/@kuketzblog/116279920940982149
Wenn wir es schaffen, supply chain angriffe mit nicht sichtbaren unicode zeichen zu fahren, dann sollte es doch auch möglich sein, auf die gleiche Weise einem neuronalen netzwerk einen Virus einzuschleusen, das die Synapsen gehörig durcheinander bringt.
Skaliere das auf massig viele Webseiten, und fertig ist so ne Art DoS auf die KI Diebe.
Viel Phantasie, zuviel Thron geschaut und meine Mathe reicht dazu nicht aus. Aber wer weis - #empirestrikesback
The article reports that support for wealth redistribution is driven more by beliefs about fairness and meritocracy than by envy toward the wealthy. Four studies show that perceiving wealth as unearned predicts support for redistribution, while envy itself loses predictive power when meritocracy beliefs are accounted for. The findings challenge the idea that redistribution support stems from malicious envy and highlight the role of perceived deservingness.
This topic is of interest to psychology readers because it clarifies how fairness beliefs shape political attitudes and how emotion and cognition interact in the formation of policy preferences. It emphasizes meritocracy as a key cognitive frame influencing judgments about economic justice across different populations.
Article Title: Left-leaning support for redistribution stems from perceived unfairness rather than malicious envy
Link to PsyPost Article: https://www.psypost dot org/left-leaning-support-for-redistribution-stems-from-perceived-unfairness-rather-than-malicious-envy/
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#psychology #meritocracy #fairness #redistribution #politicalbeliefs
unexpected growth…
What does it mean to grow? And what experiences in life helped me grow the most? Find out more...
Teaching AI Ethics: Bias and Discrimination
This is the first post in a series exploring the nine areas of AI ethics outlined in this original post. Each post will go into detail on the ethical concern as well as providing practical ways to discuss these issues in a variety of subject areas. UPDATE: Here's a pre-post-script to this post which raises an important point about bias in image generation. It comes from a DM conversation and subsequent comment on the post on LinkedIn: Excellent comment via Lori Mazor on the image with this […]https://leonfurze.com/2023/03/06/teaching-ai-ethics-bias-and-discrimination/
Teaching AI Ethics: Environment
This is the second post in a series exploring the nine areas of AI ethics outlined in this original post. Each post goes into detail on the ethical concern and provides practical ways to discuss these issues in a variety of subject areas. For the first post on bias and discrimination, click here. The original post Teaching AI Ethics provided an overview of nine areas of ethical concern with AI. Although I primarily work with generative AI like text and image generation, many of these can be […]https://leonfurze.com/2023/03/13/teaching-ai-ethics-environment/
Teaching AI Ethics: Truth and Academic Integrity
This is the third post in a series exploring the nine areas of AI ethics outlined in this original post. Each post goes into detail on the ethical concern and provides practical ways to discuss these issues in a variety of subject areas. For the previous post on Environmental concerns, click here. The concept of "truth" is a significant ethical issue related to AI systems like ChatGPT. Since its launch in November, there have been two main concerns: first, the likelihood of AI models […]https://leonfurze.com/2023/03/21/teaching-ai-ethics-truth-and-academic-integrity/
Teaching AI Ethics: Copyright
This is the 4th post in a series exploring the nine areas of AI ethics outlined in this original post. Each post goes into detail on the ethical concern and provides practical ways to discuss these issues in a variety of subject areas. For the previous post on Truth, click here. This is the first in the 'intermediate' level of posts for Teaching AI Ethics. At this level, the concepts start to become more complex. This might be because the information is harder to access, or because the ideas […]https://leonfurze.com/2023/04/04/teaching-ai-ethics-copyright/
Teaching Writing in the Age of AI: Talking About Academic Integrity
This is the second post in a series about Teaching Writing in the Age of AI. In the first post, I wrote broadly about academic integrity and how to create assignments which can work with and in opposition to AI like ChatGPT. In this video post, I discuss how to talk about academic integrity with your students. https://videopress.com/v/vzbU1IIo?resizeToParent=true&cover=true&preloadContent=metadata&useAverageColor=true I've turned my previous post - Practical Strategies for ChatGPT in […]https://leonfurze.com/2023/02/07/teaching-writing-in-the-age-of-ai-talking-about-academic-integrity/
Aubrey Taylor, Editor
Paul Arnheim-Projekt
Evi Schreck
Psychotherapy Commission ACPE
Leon Furze