Another visible leak. How many invisible leaks are out there?
Chinese Startup Leaks 318 Million Private Records Obtained Through Data Scraping Facebook, Instagram, and LinkedIn Social Profiles
A Chinese social media management startup leaked over 400GB of personally identifiable information (PII) of social media users, including celebrities and social media influencers worldwide and the US. SocialArks obtained the information by data scraping social media networks, which remains a controversial practice banned [but not prevented Bob] by the affected networks.
… More concerning was the presence of private personal information not publicly provided by the victims on their public social profiles. The data leak affected 214 million social media users on Facebook, Instagram, and LinkedIn.
A ‘starter’ paper?
https://www.pogowasright.org/the-ethics-of-facial-recognition-technology/
The Ethics of Facial Recognition Technology
New article of note. I hope we can get those involved in the development of such technology, and legislators and policymakers thinking about these issues more. This article is a great starting point for them.
The Ethics of Facial Recognition Technology
Evan Selinger Rochester Institute of Technology – Department of Philosophy Brenda Leong affiliation not provided to SSRN
Abstract
This is a comprehensive presentation of leading ethical issues in debates about facial recognition technology. After defining basic terms (facial detection, facial characterization, facial verification, and facial identification), the following issues are discussed: standards, measures, and disproportionately distributed harms; erosions of trust; ethical harms associated with perfect facial surveillance; alienation, dehumanization, and loss of control; and the slippery slope debate.
You can download the paper (for free) at: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3762185
Clearly not a way to ‘sell’ AI.
Center for Applied Data Ethics suggests treating AI like a bureaucracy
A recent paper from the Center for Applied Data Ethics (CADE) at the University of San Francisco urges AI practitioners to adopt terms from anthropology when reviewing the performance of large machine learning models. The research suggests using this terminology to interrogate and analyze bureaucracy, states, and power structures in order to critically assess the performance of large machine learning models with the potential to harm people.
“This paper centers power as one of the factors designers need to identify and struggle with, alongside the ongoing conversations about biases in data and code, to understand why algorithmic systems tend to become inaccurate, absurd, harmful, and oppressive. This paper frames the massive algorithmic systems that harm marginalized groups as functionally similar to massive, sprawling administrative states that James Scott describes in Seeing Like a State,” the author wrote.
… The paper, titled “To Live in Their Utopia: Why Algorithmic Systems Create Absurd Outcomes,” was recently published and accepted by the ACM Conference on Human Factors in Computing Systems (CHI), which will be held in May.
How far back would we need to go to avoid copyright issues? Abe Lincoln endorsing a brand of axes? Would we have enough images to go much farther back?
AI resurrects legendary Spanish singer to hawk beer
The celebrated Spanish singer Lola Flores died in 1995, but a brewery is using AI to bring her back to life.
Sevillan beer company Cruzcampo made a deepfake of the iconic Andalusian the star of a new ad campaign.
https://www.youtube.com/watch?v=Yewm6TfLZ3Q&feature=emb_logo
The company recreated her voice, face, and features using hours of audiovisual material, more than 5,000 photos, and a painstaking composition and post-production process, according to El País.
… The ad was released shortly after a report named deepfakes the most concerning use of AI for crime and terrorism. But the campaign shows the tech can also turn the dead into effective booze peddlers.
Don’t panic, it’s just a tool.
https://www.makeuseof.com/tag/remove-drm-every-ebook-own/
How to Remove the DRM on Any Ebook You Own
… Given the diversity of ebook publishers and ebook file formats, it's not surprising that there isn't a one-size-fits-all solution. There are many ways to remove ebooks' DRM.
If you buy your books through Amazon, Barnes and Noble, or the other typical well-known ebook stores, the best solution is Calibre.
Calibre is a free and open-source ebook library management application that's packed full of useful features. For this process, you'll need Calibre and apprenticealf's DRM removal plugins.
Perspective. Say it isn’t so!
Page refresh: how the internet is transforming the novel
Doom scrolling, oversharing, constantly updating social media feeds ... the internet shapes how we see the world, and now it’s changing the stories we tell, writes author Olivia Sudjic
Perspective.
https://www.popsci.com/story/technology/biden-fcc-net-neutrality-digital-divide/
The FCC is about to undergo a huge shift that could drastically affect the internet
On January 20th, the day of Joe Biden’s Presidential Inauguration, Ajit Pai stepped down from his role as Chair of the Federal Communications Commission. Pai’s departure came well before the end of his current term, which was scheduled to finish in June of 2021. Democratic commissioner Jessica Rosenworcel has been appointed as acting chair for the moment as the Commission faces down a number of daunting issues that will play out during the Biden presidency. Here are some of the key issues you can expect the FCC to tackle in the coming years.
(Related?)
https://time.com/5930790/shoshana-zuboff-interview/
We Need a Fundamental Reset.' Shoshana Zuboff on Building an Internet That Lets Democracy Flourish
Shoshana Zuboff, author of The Age of Surveillance Capitalism, argues the threat to our democracy won’t recede unless we address the fundamental flaws of the business model that companies like Google and Facebook have ridden to market dominance — a model built on extracting data about our behaviors, and using the insights from those data to manipulate us. Zuboff spoke to TIME on what to expect from the next 10 years.
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