AI

Early research suggests that generative AI is approaching human accuracy in scoring essays and is likely to become even better soon.

Students using generative AI to write their essays is a problem, but it isn’t a crisis, writes Christopher Hallenbrook. We have the tools to tackle the issue of artificial intelligence

Brainstorming is a creative technique that fosters collaboration to enhance idea generation. The occurrence of evaluation apprehension, a fear of being evaluated negatively by others, however, can stymy brainstorming. How the advantages of collaboration can be leveraged while evaluation apprehension is prevented is an open scientific and practical problem. In this brief research report, it is proposed that chatbots could provide a solution. Chatbots can be designed to share ideas with their users, facilitating inspiration. Compared to human beings, chatbots are also perceived as possessing limited agency and evaluative capacity. This could reduce evaluation apprehension. Given that chatbots are often embedded in a textual chat interface, social cues (picture, name, and description) can reinforce the perceived chatbot identity, enhancing its alleged effects on evaluation apprehension and subsequently on brainstorming performance. These conjectures were tested in an online 2 × 2 between-subjects experiment (n = 120) where people were instructed to brainstorm with a partner that was framed as either a chatbot or human being (but followed the same automated script), with or without the presence of social cues. The results showed that brainstorming with a chatbot led participants to produce more ideas, with more diversity than brainstorming with an alleged human being. Social cues enhanced the effect on idea diversity, but only with the chatbot. No significant effects on evalua...

The rapid adoption of generative language models has brought about substantial advancements in digital communication, while simultaneously raising concerns regarding the potential misuse of AI-generated content. Although numerous detection methods have been proposed to differentiate between AI and human-generated content, the fairness and robustness of these detectors remain underexplored. In this study, we evaluate the performance of several widely-used GPT detectors using writing samples from native and non-native English writers. Our findings reveal that these detectors consistently misclassify non-native English writing samples as AI-generated, whereas native writing samples are accurately identified. Furthermore, we demonstrate that simple prompting strategies can not only mitigate this bias but also effectively bypass GPT detectors, suggesting that GPT detectors may unintentionally penalize writers with constrained linguistic expressions. Our results call for a broader conversation about the ethical implications of deploying ChatGPT content detectors and caution against their use in evaluative or educational settings, particularly when they may inadvertently penalize or exclude non-native English speakers from the global discourse. The published version of this study can be accessed at: www.cell.com/patterns/fulltext/S2666-3899(23)00130-7

Craft inclusive, bias-free job descriptions with an inclusive job description tool. Foster creativity and add more diverse talent to your workforce today!

Generative AI tools can reflect our failure of imagination and that is when the real learning starts

How can AI/ML systems be used in a responsible and ethical way that deserves the trust of users and society?

AI tools are becoming accessible to any business or individual, transforming the way they work. The technology is no longer just for academics or tech giants, so here we look at some of the top tools everyone should be trying out.

AI and chatbots present opportunities and challenges for society and the information landscape, making news literacy more critical than ever.

AI as a Partner in the Learning Process May 3rd, 2024 bit.ly/CVC_AI

If you find yourself wondering whether something is written by an actual human versus generated by AI, you're not alone. These detection tools can help you tell the difference.

Want to become an expert in AI? We'll help you navigate through a sea of online educational options with our guide on where to get the best free AI training and certifications.

Which A.I. system writes the best computer code or generates the most realistic image? Right now, there’s no easy way to answer those questions.

Turnitin, a service that checks papers for plagiarism, says its detection tool found millions of papers that may have a significant amount of AI-generated content.

This session explores artificial intelligence (AI) tools tailored for neurodivergent learners. Addressing the challenges faced by students with conditions such as ADHD, dyslexia, and autism, the session highlights AI-powered solutions for instructors and students to enhance focus, comprehension, and communication.

Every classroom across the world has one thing in common: variety. Wherever there is a group of students, you will find a range of talents, aptitudes and perspectives. This is a wonderful thing. After all, variety is the spice of life – and you don’t get harmony when everyone sings the same note. And yet,

A college student says she was falsely accused of cheating, and her story has gone viral. Where is the line between acceptable help and cheating with AI?

Mixed performance by AI-detector tools leaves academics with no clear answers.

The transformative impact of AI in the lives of neurodivergent individuals cannot be overstated. Learn how it's helping people with Learning disabilities.

This review study aims to uncover how artificial intelligence (AI) has been employed to support students with learning disabilities (SWLDs). Of the 16 reviewed

Artificial intelligence can improve accessibility and ensure that students with disabilities have access to rich learning opportunities.

New tools use artificial intelligence to assist students with autism and dyslexia and address accessibility for those who are blind or deaf.