OpenAI Worries About What Its Chatbot Will Say About People’s Faces
An advanced version of ChatGPT can analyze images and is already helping the blind. But its ability to put a name to a face is one reason the public doesn’t have access to it.
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.
‘Not for Machines to Harvest’: Data Revolts Break Out Against A.I.
Fed up with A.I. companies consuming online content without consent, fan fiction writers, actors, social media companies and news organizations are among those rebelling.
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.
Thousands of authors urge AI companies to stop using work without permission
Nora Roberts, Viet Thanh Nguyen, Michael Chabon and Margaret Atwood are among those signing an Authors Guild letter asking artificial intelligence companies to get permission or offer compensation.
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.
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…
ITU INTERVIEWS @ ITU AI for Good Global Summit: Joanna Batstone, Monash University
Interview with Joanna Batstone, Professor & Director, Monash Data Futures Institute at Monash University filmed at the AI For Good Global Summit 2023, Geneva, Switzerland
#aiforgood
The world's most powerful AI model suddenly got 'lazier' and 'dumber.' A radical redesign of OpenAI's GPT-4 could be behind the decline in performance.
Users of OpenAI's GPT-4 are complaining that the AI model is performing worse lately. Industry insiders said a redesign of GPT-4 could be to blame.
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
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?
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
Meeri Haataja on LinkedIn: The FTC is investigating whether ChatGPT harms consumers
Federal Trade Commission seems to be one of the most active regulators addressing #AI related questions these days. This article references an information…
Ovulation Tracking App Premom Will be Barred from Sharing Health Data for Advertising Under Proposed FTC Order
The Federal Trade Commission charged that the developer of the fertility app Premom deceived users by sharing their sensitive personal information with third parties, including two China-based firm
Timnit Gebru on LinkedIn: LIVE: Senate Judiciary Committee holds hearing on AI and copyright —…
This is a must watch testimony by the one and only Karla Ortiz. Starts at about 31:30, about 5 minutes. Covers things from data laundering to stealing data…
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…