AI

How will people compose text moving forward, now that every author working with a digital word processor and internet access can use generative AI?

Every time we talk about AI, we get one big piece of feedback that I really want to dive into: how the lightning-fast explosion of AI tools affects the climate. AI takes a lot of energy, and there’s a huge unanswered question as to whether using all that juice for AI is actually worth it, both practically and morally. It’s messy and complicated and there are a bunch of apparent contradictions along the way — so it’s perfect for Decoder. Verge senior science reporter Justine Calma joins me to see if we can untangle this knot. Links: This startup wants to capture carbon and help data centers cool down | The Verge Google’s carbon footprint balloons in its Gemini AI era | The Verge Taking a closer look at AI’s supposed energy apocalypse | Ars Technica AI is exhausting the power grid. Tech firms are seeking a miracle | WaPo AI Is already wreaking havoc on global power systems | Bloomberg What do Google’s AI answers cost the environment? | Scientific American AI is an energy hog | MIT Tech Review Microsoft’s AI…

Large language models go through a lot of vetting before they’re released to the public. That includes safety tests, bias checks, ethical reviews and more. But what if, hypothetically, a model could dodge a safety question by lying to developers, hiding its real response to a safety test and instead giving the exact response its human handlers are looking for? A recent study shows that advanced LLMs are developing the capacity for deception, and that could bring that hypothetical situation closer to reality. Marketplace’s Lily Jamali speaks with Thilo Hagendorff, a researcher at the University of Stuttgart and the author of the study, about his findings.

Academics gathered last week to discuss the future of artificial intelligence in teaching.

The Ethical Challenges in AI worksheet will help you work through ethical challenges using a design process.

It enters a category full of flops.

AI Chatbots are conversational agents that can act on your behalf and converse with humans - a futuristic novelty that is already getting people excited about its usage in improving efficiency.

A major Japanese supermarket chain has installed an artificial intelligence (AI) system to assess it

The tech company debuted a new Gemini ad during the Olympics that critics say is out of touch.

Library scientists offer tips and tricks to figure out if a particular online news article is reliable or fake.

The United States Department of Education recently released a new guide that seeks to inform ed tech developers as they create AI products and services for use in education. We spoke with Kevin Johnstun, education program specialist in ED's Office of Educational Technology, about the ins and outs of the report and what it means for education institutions.

This video demonstrates how AI tools are handling complex academic tasks, from answering quiz questions to writing essays and creating presentations. I’ll share data on student AI adoption, show live examples of AI capabilities, and discuss the challenges in detecting AI-generated work. The presentation concludes with strategies for adapting our teaching and assessment methods to this rapidly evolving landscape. It’s a candid look at how AI is reshaping education and what it means for the future of our programs. 00:00 - Introduction 00:16 - Student AI Adoption 01:03 - AI Aces Multiple Choice 01:15 - AI Tackles Short Answers 01:40 - AI Generates Essays 02:20 - AI Creates Presentations 03:37 - The Limits of AI Detection 04:38 - AI’s Exponential Growth 05:06 - Strategies for Adapting to AI Music: Unclean Machine by Burn Water http://burnwater.bandcamp.com

This post is the third in the Beyond ChatGPT series about generative AI’s impact on learning. In the previous posts, I discussed how generative AI has moved beyond text generation and is starting to impact critical skills like reading and note-taking. In this post, I’ll cover how the technology is marketed to students and educators to automate feedback. The goal of this series is to explore AI beyond ChatGPT and consider how this emerging technology is transforming not simply writing, but many of the skills we associate with learning. Educators must shift our discourse away from ChatGPT’s disruption of assessments and begin to grapple with what generative AI means for teaching and learning.

Giving feedback on writing shouldn't consist primarily of fixing problems. Good feedback depends upon a holistic understanding of the context, the writer, and…

Can artificial intelligence overhaul the regulatory system?

AI Expectations Worksheet Directions: Imagine you knew for certain your student used AI in the following ways. Indicate whether you would consider such use acceptable, conditional, unacceptable, or irrelevant to your course. AI Explains A student asks AI to summarize a topic instea...

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The contours of the conversations I want to have with students about their GenAI usage

When working with generative artificial intelligence (AI), users may see productivity gains, but the AI-generated content may not match their preferences exactly. To study this effect, we...

Google researchers have come out with a new paper that warns that generative AI is ruining vast swaths of the internet with fake content.