A new Chrome extension can reliably detect AI-generated voices
Hiya has launched a free Chrome extension to detect deepfake voices. The Hiya Deepfake Voice Detector listens to voices in video or audio streams and assigns an authenticity score, indicating whether it’s real or fake.
AI Foundations for Educators | Common Sense Education
Common Sense Education provides educators and students with the resources they need to harness the power of technology for learning and life. Find a free K-12 Digital Citizenship curriculum, reviews of popular EdTech apps, and resources for protecting student privacy.
I-XRAY: The AI Glasses That Reveal Anyone’s Personal Details just from looking at them
This is an experiment and personal project by builders: AnhPhu Nguyen & Caine ArdayfioFor more info, and how to protect yourself visit http://tinyurl.com/mee...
US and UK announce joint children's online safety group to push for common fixes | TechCrunch
The U.S. and U.K. governments announced Thursday they will set up a joint children’s online safety working group to cooperate on safeguarding efforts in
Create instant AI-powered mind maps with MindMap AI. Featuring Copilot Chat, co-creation, multi-format input, and easy sharing. Revolutionize your brainstorming process today!
What Does the AI Boom Really Mean for Humanity? | The Future With Hannah Fry
Artificial intelligence has begun to exhibit early signs of agency. Are we on a path to superintelligence? Self destruction? Or is the potential promise and ...
How higher education can realize the potential of Generative AI
Generative AI represents a seismic shift for higher education institutions, ushering in a level of change comparable to that of the dawn of the internet.
EA Chief Strategy officer Mihir Vaidya demonstrates how EA plans to super-charge user-created game content with AI in this concept video "Imagination to Creation" from EA’s Investor Day event in NYC
Simple techniques to bypass GenAI text detectors: implications for inclusive education - International Journal of Educational Technology in Higher Education
This study investigates the efficacy of six major Generative AI (GenAI) text detectors when confronted with machine-generated content modified to evade detection (n = 805). We compare these detectors to assess their reliability in identifying AI-generated text in educational settings, where they are increasingly used to address academic integrity concerns. Results show significant reductions in detector accuracy (17.4%) when faced with simple techniques to manipulate the AI generated content. The varying performances of GenAI tools and detectors indicate they cannot currently be recommended for determining academic integrity violations due to accuracy limitations and the potential for false accusation which undermines inclusive and fair assessment practices. However, these tools may support learning and academic integrity when used non-punitively. This study aims to guide educators and institutions in the critical implementation of AI text detectors in higher education, highlighting the importance of exploring alternatives to maintain inclusivity in the face of emerging technologies.
By mimicking these imperfections, AI-generated content can effectively mislead detectors into classifying them as human-authored content.