Digital Ethics

Digital Ethics

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Contextualizing End-User Needs: How to Measure the Trustworthiness of an AI System
Contextualizing End-User Needs: How to Measure the Trustworthiness of an AI System
As potential applications of artificial intelligence (AI) continue to expand, the question remains: will users want the technology and trust it? This blog post explores how to measure the trustworthiness of AI.
·insights.sei.cmu.edu·
Contextualizing End-User Needs: How to Measure the Trustworthiness of an AI System
US FTC opens investigation into OpenAI over misleading statements -document
US FTC opens investigation into OpenAI over misleading statements -document
The U.S. Federal Trade Commission has opened an investigation into OpenAI on claims it has run afoul of consumer protection laws by putting personal reputations and data at risk, the strongest regulatory threat to the Microsoft-backed startup yet.
·reuters.com·
US FTC opens investigation into OpenAI over misleading statements -document
Assessing public forecasts to encourage accountability: The case of MIT’s Technology Review
Assessing public forecasts to encourage accountability: The case of MIT’s Technology Review
Although high degrees of reliability have been found for many types of forecasts purportedly due to the existence of accountability, public forecasts of technology are rarely assessed and continue to have a poor reputation. This paper’s analysis of forecasts made by MIT’s Technology Review provides a rare assessment and thus a means to encourage accountability. It first shows that few of the predicted “breakthrough technologies” currently have large markets. Only four have sales greater than $10 billion while eight technologies not predicted by Technology Review have sales greater than $10 billion including three with greater than $100 billion and one other with greater than $50 billion. Second, possible reasons for these poor forecasts are then discussed including an over emphasis on the science-based process of technology change, sometimes called the linear model of innovation. Third, this paper describes a different model of technology change, one that is widely used by private companies and that explains the emergence of those technologies that have greater than $10 billion in sales. Fourth, technology change and forecasts are discussed in terms of cognitive biases and mental models.
·journals.plos.org·
Assessing public forecasts to encourage accountability: The case of MIT’s Technology Review
Diller confirms plans for legal action over AI publishing
Diller confirms plans for legal action over AI publishing
Media titan Barry Diller confirmed Sunday he and a group of “leading publishers” plan to take legal action regarding the use of published works in training artificial intelligence (AI) systems.   D…
·thehill-com.cdn.ampproject.org·
Diller confirms plans for legal action over AI publishing
AI learned from their work. Now they want compensation.
AI learned from their work. Now they want compensation.
Authors, artists and publishers are suing tech companies that used copyrighted works to train their artificial intelligence programs.
·washingtonpost.com·
AI learned from their work. Now they want compensation.
Would You Let Your Boss Track Your Sleep Schedule?
Would You Let Your Boss Track Your Sleep Schedule?
A new Slack feature developed by wearable health tech company Oura foreshadows an unnerving, dystopian future work culture.
·thedailybeast.com·
Would You Let Your Boss Track Your Sleep Schedule?
Kashmir Hill (@kashhill@mastodon.social)
Kashmir Hill (@kashhill@mastodon.social)
Y'all it is all happening so fast. Read my book. Be prepared. (https://www.penguinrandomhouse.com/books/691288/your-face-belongs-to-us-by-kashmir-hill/) Woman in Portland has to look up at a facial recognition camera before she can walk into a gas station convenience store: https://www.tiktok.com/@karmifaye/video/6844038219017866501
·mastodon.social·
Kashmir Hill (@kashhill@mastodon.social)
Wikipedia's value in the age of generative AI – Wikimedia Foundation
Wikipedia's value in the age of generative AI – Wikimedia Foundation
If there was a generative artificial intelligence system that could, on its own, write all the information contained in Wikipedia, would it be the same as Wikipedia today?
·wikimediafoundation.org·
Wikipedia's value in the age of generative AI – Wikimedia Foundation
How Can Designers Build Interfaces That Avoid the “White Default?”
How Can Designers Build Interfaces That Avoid the “White Default?”
In 2016, the artist Deborah Roberts created “Pluralism Series,” a series of prints that, borrowing the aesthetic of a Microsoft Word document, lists the names of Black people. Name after name has that jarring squiggly red line underneath it, as if it was a misspelling. I know this squiggly red li
·eyeondesign.aiga.org·
How Can Designers Build Interfaces That Avoid the “White Default?”
The FTC is investigating whether ChatGPT harms consumers
The FTC is investigating whether ChatGPT harms consumers
The FTC is demanding documents from Open AI, ChatGPT's creator, about data security and whether its chatbot generates false information.
·washingtonpost.com·
The FTC is investigating whether ChatGPT harms consumers
Stine Mangor Tornmark on LinkedIn: #privacy #ai #aipolicy
Stine Mangor Tornmark on LinkedIn: #privacy #ai #aipolicy
Creating AI Guidelines for your company's AI usage 🚀💡What should you include? When your company uses AI, it's crucial to create clear internal guidelines…
·linkedin.com·
Stine Mangor Tornmark on LinkedIn: #privacy #ai #aipolicy
Rise of the machines: how worried should we be about AI?
Rise of the machines: how worried should we be about AI?
If there’s a 10% chance that human-level artificial intelligence (AI) would lead to existential risk or an “extremely negative outcome”, what would you do? We get the experts to weigh in on the development of AI and untangle the deep, complex questions it raises.
·sydney.edu.au·
Rise of the machines: how worried should we be about AI?
Inside the AI Factory
Inside the AI Factory
How many humans does it take to make tech seem human? Millions.
·theverge.com·
Inside the AI Factory
Gödel, Escher, Bach, and AI
Gödel, Escher, Bach, and AI
A dazzlingly fast chatbot cannot replace the authentic and reflective voice of a thinking, living human being.
·theatlantic.com·
Gödel, Escher, Bach, and AI
13 Principles for Using AI Responsibly
13 Principles for Using AI Responsibly
The competitive nature of AI development poses a dilemma for organizations, as prioritizing speed may lead to neglecting ethical guidelines, bias detection, and safety measures. Known and emerging concerns associated with AI in the workplace include the spread of misinformation, copyright and intellectual property concerns, cybersecurity, data privacy, as well as navigating rapid and ambiguous regulations. To mitigate these risks, we propose thirteen principles for responsible AI at work.
·hbr.org·
13 Principles for Using AI Responsibly
PoisonGPT: How we hid a lobotomized LLM on Hugging Face to spread fake news
PoisonGPT: How we hid a lobotomized LLM on Hugging Face to spread fake news
We will show in this article how one can surgically modify an open-source model, GPT-J-6B, and upload it to Hugging Face to make it spread misinformation while being undetected by standard benchmarks.
·blog.mithrilsecurity.io·
PoisonGPT: How we hid a lobotomized LLM on Hugging Face to spread fake news