60% of managers use AI to make decisions now, including whom to promote and fire - does yours?
In fact, 43% of managers surveyed went on to replace a human role with AI. Here's how employees can protect themselves in the face of AI's gray areas.
AI-GenAI
Half of Managers Use AI To Determine Who Gets Promoted and Fired - ResumeBuilder.com
According to a new Resume Builder survey, a majority of mangers are using AI make high-stakes personnel decisions.
Start Where It Hurts: Using AI to Tackle Assessment Pain Points
How AI Makes Assessments Less Painful and More Purposeful
Counteract #AI Cynicism with Philosophy-Inspired CARES Model #EduSky
In one of his missives to followers, Steve Hargadon writes something my memory assigned to Audrey Watters (incorrectly I noticed when I went back to check the source). I should have known better. N…
Special Update: Google Launches Gemini for Education at ISTE 2025
Teachers and Parents Can’t See AI Chat Transcripts While Gemini may be “student safe,” only administrators can review chat histories. That’s a huge blind spot. If a student is confused by a Gemini response, misuses the tool, or gets inaccurate information—teachers and parents won’t know unless the student says something.
Is AI doing the thinking—or the student? Many features encourage speed and convenience, but could inadvertently promote over-reliance. Students can get summaries, answers, and explanations so easily that critical thinking risks taking a backseat.
There’s no way to track edits or usage Gemini doesn’t offer version history for AI-generated content. That means teachers can’t see how a document evolved—or how much of it came from AI.
Equity gaps may widen Some schools have tech coaches, training time, and infrastructure to support thoughtful AI use. Others don’t. Without equitable implementation support, Gemini’s benefits may be limited to already well-resourced districts.
From knowledge to performance
Bad questions are not the answer to move from knowledge to performance. What is needed? Let's look at the types of questions we ask.
Experience AI
Experience AI
How the Vatican Is Shaping the Ethics of Artificial Intelligence
Shane Tews is joined by Father Paolo Benanti, a theologian and ethicist for the Vatican on AI, for a thought-provoking interactive discussion that transcends traditional debates on values and policy to examine AI's broader psychological, philosophical, and even theological implications.
Bernie Sanders Reveals the AI 'Doomsday Scenario' That Worries Top Experts
The Vermont senator discusses his fears that artificial intelligence will only enrich the billionaire class, the fight for a 32-hour work week, and the ‘doomsday scenario’ that has some of the world’s top experts deeply concerned.
Capabilities & Ethics of AI Found in Middle Grades Fiction
Novels that explore AI through stories grounded in real ethical and scientific questions spark discussions and critical thinking with students, says Kasey Short
Generative artificial intelligence in education: (what) are we thinking?
The power of Gen-AI lies in the synthesis of comprehensive information openly available online, a much faster process compared to any normal human processing.
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.
On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?
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.
Hitchhiker’s Guide to RAG: From Tiny Files to Tolstoy with OpenAI’s API and LangChain | Towards Data Science
Scaling a simple RAG pipeline from simple notes to full books
AN ETHICAL WIN-WIN-WIN
Explore the synergy between consequentialism, virtue ethics, and deontology, revealing how these ethical frameworks can coexist and enhance moral understanding.
17 AI Skills To Put On Your Resume In 2025
Here are the 17 most in-demand AI skills to include in your resume for higher salaries and to future-proof your career. Plus, some AI courses to help you learn them.
AI literacy is the only way to a successful AI-human collaboration and AI-assisted education
Without AI literacy, the risks of AI will increase
When vibe coding goes viral with J. Chris Anderson (Changelog Interviews #647)
vibe coding
The Year I Found My Voice
A year of speaking truth to hype.
Refusing Generative AI in Writing
Visit the post for more.
Copyright Cases Should Not Threaten Chatbot Users’ Privacy
Like users of all technologies, ChatGPT users deserve the right to delete their personal data. Nineteen U.S. States, the European Union, and a host of other countries already protect users’ right to delete. For years, OpenAI gave users the option to delete their conversations with ChatGPT, rather...
AIs have a favorite number, and it's not 42
: Ask a model to guess a number from 1 to 50 and it's likely to answer 27
Gemini in Classroom: No-cost AI tools that amplify teaching and learning
Along with Gemini in Classroom's new AI tools for education, we're announcing more than 50 new features in Google Classroom
Gemini in Classroom: No-cost AI tools that amplify teaching and learning
Along with Gemini in Classroom's new AI tools for education, we're announcing more than 50 new features in Google Classroom
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Loman | The 24/7 AI Phone Agent for Restaurants
Revolutionize your restaurant's customer service with Loman.ai: the AI-powered phone agent. Available 24/7, Loman takes orders, books reservations, and answers inquiries with unmatched efficiency and at a fraction of the cost. Elevate your customer experience today.
An open letter from educators who refuse the call to adopt GenAI in education
Perplexity
Perplexity is a free AI-powered answer engine that provides accurate, trusted, and real-time answers to any question.
![Gen AI and LLM Data Privacy Ranking 2025 [2025] | Incogni](https://rdl.ink/render/https%3A%2F%2Fblog.incogni.com%2Fwp-content%2Fuploads%2F2025%2F06%2Fthumbnail-llm-2-1024x536.jpg?width=92&height=&ar=&mode=&format=avif&dpr=2)
Gen AI and LLM Data Privacy Ranking 2025 [2025] | Incogni
The rise of generative artificial intelligence (Gen AI) and large language models (LLMs) has fundamentally transformed how individuals and organizations deal