Rethinking how to build guardrails for AI
Rethinking how to build guardrails for AI A recent report jointly published by authors from Carnegie Mellon University and Center for AI Safety, revealed in what ways LLM safety measures can be bypassed, allowing the generation of harmful information in large amounts. Abstract: Large language models (LLMs) like ChatGPT, Bard, or Claude undergo extensive fine-tuning […]
China says generative AI rules to apply only to products for the public
China says generative AI rules to apply only to products for the public Author: Josh Ye for Reuters China published measures on Thursday to manage its booming generative artificial intelligence (AI) industry, softening its tone from an earlier draft, and said regulators would seek to support development of the technology. The rules, set to take effect […]
Exploring Institutions for Global AI Governance
Exploring Institutions for Global AI Governance A new white paper by Google’s DeepMind investigates models and functions of international institutions that could help manage opportunities and mitigate risks of advanced AI. To read the full white paper, please click on the this link.
Deep Learning has a Terrible Carbon Footprint
Deep Learning has a Terrible Carbon Footprint Dr. Joy Buolamwini writes on her LinkedIn post: I’ve been thinking about the hope expressed that AI can help mitigate climate change. Yes, AI can be used to find more efficient ways to use energy. DeepMind proved itself useful to Google in 2016 by reducing data center cooling […]
What Roles Could Generative AI Play on Your Team?
What Roles Could Generative AI Play on Your Team? In this Harvard Business Review article published on June 22, 2023 and co-authored by Misiek Piskorski and Amit Joshi, the authors argue that: The recent advances in ChatGPT are merely the first application of new AI technologies. As such, companies and leaders need to think about […]
Comment: Semantic Reconstruction of Continuous Language from Non-Invasive Brain Recordings
Comment: Semantic Reconstruction of Continuous Language from Non-Invasive Brain Recordings Authors: Pouria Saidi, Sean Kinahan, and Visar Berisha (Arizona State University) A recent article published in Nature neuroscience, titled Semantic Reconstruction of Continuous Language from Non-Invasive Brain Recordings, has attracted the attention of many and raised questions around the idea that AI-powered machines may be […]
ChatGPT’s Electricity Consumption
ChatGPT’s Electricity Consumption Kaspar Groes Albin Ludvigsen estimates that ChatGPT may have consumed as much electricity as 175’000 people. He writes: Estimating ChatGPT’s electricity consumption, on the other hand, is in principle simpler, because we do not need to know in which geographic regions ChatGPT is running. Below I explain how one can go about […]
As the AI industry booms, what toll will it take on the environment?
As the AI industry booms, what toll will it take on the environment? Maanvi Singh analyzes the hidden energy and environmental costs of training, maintaining and deploying complex and large AI algorithms for The Guardian. To read the full article, please click on this link.
A quick history of AI, Machine Learning and Deep Learning
A quick history of AI, Machine Learning and Deep Learning Subhankar Samanta, provides an insightful and chronological account of the history of Artificial Intelligence, Machine Learning and Deep Learning, published in Nerdy Electronics. To read the full article, please click on this link. Image credit: rawpixel.com on Freepik
Generative AI and Data Privacy: A Primer
Generative AI and Data Privacy: A Primer Kristin E. Busch has written a report for Congressional Research Service, published on May 23, 2023, which provides detailed insight into generative AI and data privacy for policy makers. To read the full report, please click on this link. Image credit: https://pxhere.com/https://pxhere.com/en/photo/1584997?utm_content=shareClip&utm_medium=referral&utm_source=pxhere