Digital Ethics

Digital Ethics

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How To Think Like Leonardo Da Vinci: 7 Principles | QAspire Consulting
How To Think Like Leonardo Da Vinci: 7 Principles | QAspire Consulting
“How to Think Like Leonardo Da Vinci” by Michael Gelb offers seven key aspects of Da Vinci’s mindset that are fascinating and offers practical exercises/ideas to help us cultivate our own creativity to live up to our highest potential.
·qaspire.com·
How To Think Like Leonardo Da Vinci: 7 Principles | QAspire Consulting
Tips for more sustainable smartphone use
Tips for more sustainable smartphone use
About 80% of the total environmental damage of a smartphone occurs during the manufacturing process, so the single most important thing you can do to mitigate that damage is to hold on to your phone for as long as possible. If it breaks, get it repaired.Over 60 years of life, if you keep your smartphone for an average of two years, then you'll need...
·gerrymcgovern.com·
Tips for more sustainable smartphone use
TeleSign profiles half of the world’s phone users
TeleSign profiles half of the world’s phone users
TeleSign generates a “reputation score” and sells it to various clients. TeleSign secretly received the mobile phone data from BICS, a Belgian company that provides interconnection services.
·noyb.eu·
TeleSign profiles half of the world’s phone users
The AI Apocalypse: A Scorecard
The AI Apocalypse: A Scorecard
How worried are top AI experts about the threat posed by large language models like GPT-4?
·spectrum-ieee-org.cdn.ampproject.org·
The AI Apocalypse: A Scorecard
The 'toxification' of AI
The 'toxification' of AI
As (Gen)AI's real-world utility abounds, AI is becoming a dirty word
·ninaschick.substack.com·
The 'toxification' of AI
ChatGPT’s Electricity Consumption
ChatGPT’s Electricity Consumption
ChatGPT may have consumed as much electricity as 175,000 people in January 2023.
·towardsdatascience.com·
ChatGPT’s Electricity Consumption
AI Users Are Neither AI Nor Users
AI Users Are Neither AI Nor Users
As the excitement grows around machine learning and things called “AI,” it’s only natural that we would see companies, products, and…
·rbefored.com·
AI Users Are Neither AI Nor Users
🤦🏽‍♂️ No, GPT4 can’t ace MIT
🤦🏽‍♂️ No, GPT4 can’t ace MIT
What follows is a critical analysis of “Exploring the MIT Mathematics and EECS Curriculum Using Large Language Models”
·flower-nutria-41d.notion.site·
🤦🏽‍♂️ No, GPT4 can’t ace MIT
Who's Liable for AI Misinformation With Chatbots Like ChatGPT? | WSJ Tech News Briefing
Who's Liable for AI Misinformation With Chatbots Like ChatGPT? | WSJ Tech News Briefing
Generative artificial-intelligence chatbots like ChatGPT are known to get things wrong sometimes, a process known as “hallucinating.” But can anyone be held liable if those incorrect responses are damaging in some way? Host Zoe Thomas talks to a legal expert and an AI ethicist to explore the legal landscape for generative AI technology, and the tactics companies are employing to improve their products. This is the fourth episode of Tech News Briefing’s special series on generative AI, “Artificially Minded.” 0:00 Why Australian mayor Brian Hood is thinking about suing OpenAI's ChatGPT for defamation 4:44 Why generative AI programs like OpenAI’s ChatGPT can get facts wrong 6:26 What the 1996 Communication Decency Act could tell us about laws around generative AI 10:20 How generative AI blurs the line between creator and platform 12:56 How lawmakers around the world are handing regulation around AI 14:13 Why AI hallucinations happen 17:16 How Google is taking steps to create a more factual chatbot with Bard 18:34 How tech companies work with AI ethicists: what is red teaming? Tech News Briefing WSJ’s tech podcast featuring breaking news, scoops and tips on tech innovations and policy debates, plus exclusive interviews with movers and shakers in the industry. For more episodes of WSJ’s Tech News Briefing: https://link.chtbl.com/WSJTechNewsBriefing #AI #Regulation #WSJ
·youtube.com·
Who's Liable for AI Misinformation With Chatbots Like ChatGPT? | WSJ Tech News Briefing
Will we run out of data? An analysis of the limits of scaling...
Will we run out of data? An analysis of the limits of scaling...
We analyze the growth of dataset sizes used in machine learning for natural language processing and computer vision, and extrapolate these using two methods; using the historical growth rate and...
·arxiv.org·
Will we run out of data? An analysis of the limits of scaling...
When AI Overrules the Nurses Caring for You
When AI Overrules the Nurses Caring for You
Artificial intelligence raises difficult questions about who makes the call in a health crisis: the human or the machine?
·wsj.com·
When AI Overrules the Nurses Caring for You
Amp
Amp
·www-technologyreview-com.cdn.ampproject.org·
Amp
The AI Arms Race: Using AI to avoid AI-detection tools
The AI Arms Race: Using AI to avoid AI-detection tools
The use of artificial intelligence (AI) to detect AI-generated content has gained increasing attention in recent years as the capabilities…
·drpontus.medium.com·
The AI Arms Race: Using AI to avoid AI-detection tools