Digital Ethics

Download pdf Dana’s Answers By Molly Ryan, Summer 2016 Donella “Dana” Meadows was a pioneer in systems thinking and sustainability, a MacArthur Fellow, a professor, a farmer, and a mentor and friend to countless people. Twenty years ago, Dana founded the Sustainability Institute (now called the Donella Meadows Institute) while working as a part-time professor […]

New poll data from Domino Data Lab finds generative AI cannot be outsourced — enterprises need to fine-tune or control their own models.

More than 140 brands are advertising on low-quality content farm sites—and the problem is growing fast.

This glossary provides definitions and explanations for some of the most common terms related to AI governance.

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“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.

A new report by one of Meta's largest global partners shows life-endangering oversights at scale in the company's content-moderation strategy.

More than 140 brands are advertising on low-quality content farm sites—and the problem is growing fast.

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...

Don't get so distracted by the promise and threats associated with the future of AI -- it is not magic.

Experts warned that AI's autonomy is just a "veneer," and that it's being used as surveillance through the scraped data it needs to train on.

NAIAC’s work supports the Biden-Harris administration’s ongoing efforts to advance a comprehensive approach to AI-related risks and opportunities.

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.

How worried are top AI experts about the threat posed by large language models like GPT-4?

As (Gen)AI's real-world utility abounds, AI is becoming a dirty word

ChatGPT may have consumed as much electricity as 175,000 people in January 2023.

As the excitement grows around machine learning and things called “AI,” it’s only natural that we would see companies, products, and…

In public, OpenAI is calling for stronger AI guardrails. But documents show the company lobbied to weaken EU regulation

Self-service technologies — like self-checkouts or government service kiosks — are decreasing interactions with other people. This may affect our politics and sense of community.

AR designers and creators are today’s magicians. Here’s what they need to know to re-enchant the world

What follows is a critical analysis of “Exploring the MIT Mathematics and EECS Curriculum Using Large Language Models”

As a generative AI training model is exposed to more AI-generated data, it performs worse, producing more errors, leading to model collapse.

The Taliban administration is stuck in a cat-and-mouse game with WhatsApp, which is off-limits to the nascent government because of U.S. sanctions.

Lawmakers are flocking to private meetings, dinners and briefings with AI experts — including the CEOs of the companies they’re trying to regulate.

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

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...

Artificial intelligence raises difficult questions about who makes the call in a health crisis: the human or the machine?