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Artificial Intelligence and the Feminist Decolonial Imagination » Bot Populi
Artificial Intelligence and the Feminist Decolonial Imagination » Bot Populi
The deployment of artificial intelligence (AI) technologies has shown great potential for harm, especially for racialized women, non-binary people, and marginalized groups in the Global South. In such a scenario, how can we decolonize and depatriarchalize AI? In this essay, I suggest advancing the feminist and decolonial imagination to develop AI technologies under ethical frameworks that consider intersecting systems of oppression at every step of the AI lifecycle. I also provide examples of AI projects that help us imagine alternative feminist and decolonial technological futures. I conclude by offering possible interventions to build technologies aligned with the right to a dignified life for humans and other beings, and to ensure that the rights of nature are respected.
#ai#feminism
·botpopuli.net·
Artificial Intelligence and the Feminist Decolonial Imagination » Bot Populi
AI and I: The Age of Artificial Creativity - Ness Labs
AI and I: The Age of Artificial Creativity - Ness Labs
A new generation of AI tools is taking the world by storm. These tools can help you write better, code faster, and generate unique imagery at scale. People are using AI tools to produce entire blog posts, create content for their company’s social media channels, and craft enticing sales emails. The advent of such powerful AI tools begs the question: what does it mean to be a creator or knowledge worker in the age of artificial creativity? Artificial creativity is a new liminal space between machine and human, between productivity and creativity, which will affect the lives of billions of workers in the coming years. Some jobs will be replaced, others will be augmented, and many others will be reinvented in an unrecognizable way. If your work involves creative thinking or knowledge management, read on for a primer on what’s going on with the latest generation of AI tools, and what it means to be a creator or a knowledge worker in the age of artificial creativity.
#ai
·nesslabs.com·
AI and I: The Age of Artificial Creativity - Ness Labs
Relearn | Hugo Themes
Relearn | Hugo Themes
A theme for Hugo designed for documentation. The Relearn theme is a fork of the great Learn theme with the aim of fixing long outstanding bugs and adapting to latest Hugo features. As far as possible this theme tries to be a drop-in replacement for the Learn theme.
#webdev#static#markdown
·themes.gohugo.io·
Relearn | Hugo Themes
OpenISU
OpenISU
Thoughts on open scholarship and scholarly communication from the Iowa State University Library
#opened#openeducation
·openisu.pubpub.org·
OpenISU
Can Artificial Intelligence Expand Our Capacity for Human Learning? -- Campus Technology
Can Artificial Intelligence Expand Our Capacity for Human Learning? -- Campus Technology
As educators we've all experienced the rise of new technologies along with the process of sorting out how each one may impact our work and our lives. Is the coming of AI any different? If so, how can we approach AI wisely? Here, Gardner Campbell, associate professor of English at Virginia Commonwealth University and a widely known technology thought leader considers issues and concerns surrounding AI, identifies helpful resources, and offers some grounding thoughts on human learning as we embark on our AI journey in education.
#ai#education
·campustechnology.com·
Can Artificial Intelligence Expand Our Capacity for Human Learning? -- Campus Technology
How to Easily Convert Word to Markdown with Pandoc
How to Easily Convert Word to Markdown with Pandoc
Word has many great features that make it perfect for writing long documents. But unfortunately, the only way to export them is as .docx files. That’s unhelpful if you want to upload your work to a blog like Medium or another site that accepts Markdown instead of Word files. Luckily, command line tools make converting Word documents simple enough. Pandoc is one of those tools. This article will explain how to use Pandoc with some helpful examples.
#converter#docs#markdown
·medium.com·
How to Easily Convert Word to Markdown with Pandoc
A new H5P content type: Discrete Option Multiple Choice – OTACKE'S LAB
A new H5P content type: Discrete Option Multiple Choice – OTACKE'S LAB
In 2009, Foster and Miller described their take on multiple choice tests called “Discrete Option Multiple Choice” (DOMC). Instead of presenting all answer options to choose from at once, the options are shown successively in random. One at a time. For each option, the test taker will have to decide whether it is correct or not. That leaves four possible scenarios for each option: The option is incorrect, and the test taker marks it as incorrect: The next option will be presented if there are any left. The option is incorrect, and the test taker marks is as correct: The test taker failed. The test is over. The option is correct, and the test taker marks is as incorrect: The test taker failed. The option is correct, and the test taker marks it as correct: The test taker passed. The test is over. So this could be useful right? Hochschule Hannover sponsored the development of a corresponding content type for H5P!
#h5p
·olivertacke.de·
A new H5P content type: Discrete Option Multiple Choice – OTACKE'S LAB
AI Text to Speech | AI Voice Overs | WellSaid Labs
AI Text to Speech | AI Voice Overs | WellSaid Labs
Create voiceovers from text in real time WellSaid Labs is the top AI voice platform. Thousands of companies use it to create engaging content and experiences, saving time and money — without compromising quality.
·wellsaidlabs.com·
AI Text to Speech | AI Voice Overs | WellSaid Labs
Making Ripples: A Guidebook to Challenge Status Quo in OER Creation – Simple Book Publishing
Making Ripples: A Guidebook to Challenge Status Quo in OER Creation – Simple Book Publishing
Making Ripples: A Guidebook to Challenge Status Quo in OER Creation is a short resource designed to expand your understanding of inequities in the educational systems through breaking down the work into smaller pieces with opportunities for you to reflect, identify strategies for action, and locate resources and community members to connect with. The purpose of this guide is to explore strategies for you as OER creators to incorporate equitable practices into your workflows.
#OER#equity#jedi
·press.rebus.community·
Making Ripples: A Guidebook to Challenge Status Quo in OER Creation – Simple Book Publishing
Whose Knowledge?
Whose Knowledge?
We are a global campaign to center the knowledge of marginalized communities (the majority of the world) on the internet. 3/4 of the online population of the world today comes from the global South – from Asia, from Africa, from Latin America. And nearly half all women are online. Yet most public knowledge online has so far been written by white men from Europe and North America. To address this, we work particularly with women, people of color, LGBTQI communities, indigenous peoples and others from the global South to build and represent more of all of our own knowledge online. Whose Knowledge? is a radical re-imagining and re-design of the internet, so that together we build and defend an internet of, for and by all.
#diversity#internet#open
·whoseknowledge.org·
Whose Knowledge?
AI Is Ushering in a Textpocalypse - The Atlantic
AI Is Ushering in a Textpocalypse - The Atlantic
What if, in the end, we are done in not by intercontinental ballistic missiles or climate change, not by microscopic pathogens or a mountain-size meteor, but by … text? Simple, plain, unadorned text, but in quantities so immense as to be all but unimaginable—a tsunami of text swept into a self-perpetuating cataract of content that makes it functionally impossible to reliably communicate in any digital setting? Our relationship to the written word is fundamentally changing. So-called generative artificial intelligence has gone mainstream through programs like ChatGPT, which use large language models, or LLMs, to statistically predict the next letter or word in a sequence, yielding sentences and paragraphs that mimic the content of whatever documents they are trained on. They have brought something like autocomplete to the entirety of the internet. For now, people are still typing the actual prompts for these programs and, likewise, the models are still (mostly) trained on human prose instead of their own machine-made opuses. ... Am I worried that ChatGPT could have done that work better? No. But I am worried it may not matter. Swept up as training data for the next generation of generative AI, my words here won’t be able to help themselves: They, too, will be fossil fuel for the coming textpocalypse.
#ai#text#writing#paywalled
·theatlantic.com·
AI Is Ushering in a Textpocalypse - The Atlantic
A Very Gentle Introduction to Large Language Models without the Hype | by Mark Riedl | Apr, 2023 | Medium
A Very Gentle Introduction to Large Language Models without the Hype | by Mark Riedl | Apr, 2023 | Medium
This article is designed to give people with no computer science background some insight into how ChatGPT and similar AI systems work (GPT-3, GPT-4, Bing Chat, Bard, etc). ChatGPT is a chatbot — a type of conversational AI built — but on top of a Large Language Model. Those are definitely words and we will break all of that down. In the process, we will discuss the core concepts behind them. This article does not require any technical or mathematical background. We will make heavy use of metaphors to illustrate the concepts. We will talk about why the core concepts work the way they work and what we can expect or not expect Large Language Models like ChatGPT to do. Here is what we are going to do. We are going to gently walk through some of the terminology associated with Large Language Models and ChatGPT without any jargon. If I have to use jargon, I will break it down without jargon. We will start very basic, with “what is Artificial Intelligence” and work our way up. I will use some recurring metaphors as much as possible. I will talk about the implications of the technologies in terms of what we should expect them to do or should not expect them to do.
#ai
·mark-riedl.medium.com·
A Very Gentle Introduction to Large Language Models without the Hype | by Mark Riedl | Apr, 2023 | Medium
Education Sciences | Free Full-Text | Replacing Exams with Project-Based Assessment: Analysis of Students’ Performance and Experience
Education Sciences | Free Full-Text | Replacing Exams with Project-Based Assessment: Analysis of Students’ Performance and Experience
This study seeks to investigate whether project-based assignments can lead to better student performance and learning experience compared to traditional examinations. In an engineering course of soil mechanics, the traditional mid-semester and final exams were replaced by project work which was related to a real-life site investigation. Student performance was evaluated on the basis of student marks whilst student feedback was analysed to understand student experience with project-based assignments. The results indicated that the student average mark for the projects was greater than the average mark for the exams. In addition, their learning experience improved after the exams were replaced with the project-based assignments because students were able to see practical applications of the course content. However, a few issues, including feedback to students delivered at the end of the term, increased teacher’s workload, and the effect of COVID were also identified.
#assessment#ds106
·mdpi.com·
Education Sciences | Free Full-Text | Replacing Exams with Project-Based Assessment: Analysis of Students’ Performance and Experience
AI Technology Like ChatGPT Will Reshape Software Coding Jobs Forever
AI Technology Like ChatGPT Will Reshape Software Coding Jobs Forever
But one white-collar skill set, the study found, is especially at risk for being automated: computer programming. The reason? Large language models like the one powering ChatGPT have been trained on huge repositories of code. Researchers at Microsoft and its subsidiary GitHub recently divided software developers into two groups — one with access to an AI coding assistant, and another without. Those assisted by AI were able to complete tasks 56% faster than the unassisted ones. "That's a big number," Mollick says. By comparison, the introduction of the steam engine in the mid-1800s boosted productivity at large factories by only 15%. Tech companies have rushed to embrace generative AI, recognizing its ability to turbocharge programming. Amazon has built its own AI coding assistant, CodeWhisperer, and is encouraging its engineers to use it. Google is also asking its developers to try out new coding features in Bard, its ChatGPT competitor. Given the tech industry's rush to deploy AI, it's not hard to envision a near future in which we'll need half as many engineers as we have today — or, down the line, one-tenth or one-hundredth (Emad Mostaque, the CEO of Stability AI, has gone as far as predicting "there's no programmers in five years."). For better or worse, the rise of AI effectively marks the end of coding as we know it.
#ai#coding
·businessinsider.com·
AI Technology Like ChatGPT Will Reshape Software Coding Jobs Forever
Introduction to Diffusion Models for Machine Learning
Introduction to Diffusion Models for Machine Learning
Diffusion Models are generative models, meaning that they are used to generate data similar to the data on which they are trained. Fundamentally, Diffusion Models work by destroying training data through the successive addition of Gaussian noise, and then learning to recover the data by reversing this noising process. After training, we can use the Diffusion Model to generate data by simply passing randomly sampled noise through the learned denoising process.
#learning#ai#machinelearning
·assemblyai.com·
Introduction to Diffusion Models for Machine Learning
Let Us Show You How GPT Works — Using Jane Austen - The New York Times
Let Us Show You How GPT Works — Using Jane Austen - The New York Times
The core of an A.I. program like ChatGPT is something called a large language model: an algorithm that mimics the form of written language. While the inner workings of these algorithms are notoriously opaque, the basic idea behind them is surprisingly simple. They are trained by going through mountains of internet text, repeatedly guessing the next few letters and then grading themselves against the real thing. To show you what this process looks like, we trained six tiny language models starting from scratch. We’ve picked one trained on the complete works of Jane Austen, but you can choose a different path by selecting an option below. (And you can change your mind later.)
#ai
·nytimes.com·
Let Us Show You How GPT Works — Using Jane Austen - The New York Times
Full article: ‘Technology is not created by the sky’: datafication and educator unease
Full article: ‘Technology is not created by the sky’: datafication and educator unease
The pressure towards digital education is felt everywhere including in places with extreme digital divides. Resource-constrained educational environments are particularly threatened by datification manifest in the dominant business models of surveillance capitalism as there is less room in such contexts to refuse the ‘free’ offerings from big tech companies; it is these very contexts which are most vulnerable. Yet educators within such environments are not mere pawns of circumstance. While the realities of their structural constraints may be invisible or obfuscated, educators are driven by their own ‘concerns’, which in this case pertain to the needs of diverse students in very challenging circumstances as well as to their personal aversion to being monitored. This paper reports on findings from focus groups in a mixture of institutionsin South African education. Archer’s theoretical framework provides a lens to show how, despite very little choice, educators critically reflect on their circumstances expressing discomfort and unease.
#netnarr#surveillance#education#equity
·tandfonline.com·
Full article: ‘Technology is not created by the sky’: datafication and educator unease
Open Badge Passport
Open Badge Passport
Open Badge Passport is a free, easy to use service, where you can receive and store your Open Badges safely and share them with whomever you like and wherever you like. Start earning Open Badges right after creating an account! You can find badges in OBP’s Gallery that you can apply for from all over the world. Discover new possibilities and create different paths for your Open Badge journey!
#badges
·openbadgepassport.com·
Open Badge Passport
IGF 2023 | Internet Governance Forum
IGF 2023 | Internet Governance Forum
The 18th annual meeting of the Internet Governance Forum will be hosted by the Government of Japan in Kyoto from 8 to 12 October 2023. The Forum's overarching theme is: The Internet We Want - Empowering All People.
#meetings#internet
·intgovforum.org·
IGF 2023 | Internet Governance Forum
View of Classifying constructive comments | First Monday
View of Classifying constructive comments | First Monday
We introduce the Constructive Comments Corpus (C3), comprised of 12,000 annotated news comments, intended to help build new tools for online communities to improve the quality of their discussions. We define constructive comments as high-quality comments that make a contribution to the conversation. We explain the crowd worker annotation scheme and de ne a taxonomy of subcharacteristics of constructiveness. The quality of the annotation scheme and the resulting dataset is evaluated using measurements of inter-annotator agreement, expert assessment of a sample, and by the constructiveness sub-characteristics, which we show provide a proxy for the general constructiveness concept. We provide models for constructiveness trained on C3 using both feature-based and a variety of deep learning approaches and demonstrate, through domain adaptation experiments, that these models capture general rather than topic- or domain-specific characteristics of constructiveness. We also examine the role that length plays in our models, as comment length could be easily gamed if models depend heavily upon this feature. By examining the errors made by each model and their distribution by length, we show that the best performing models are effective independently of comment length. The constructiveness corpus and our experiments pave the way for a moderation tool focused on promoting comments that make a meaningful contribution, rather than only filtering out undesirable content.
#comment
·firstmonday.org·
View of Classifying constructive comments | First Monday
Public Good | voicEd
Public Good | voicEd
Shannon D. Moore (University of Manitoba) and Stephen Hurley explore how we can protect the idea that public education is, in fact, a public good. Great guests, multiple perspectives and tools that will help us mobilize the conversation in our own communities.
#podcast#commons#publicgood
·voiced.ca·
Public Good | voicEd
Global Partnership for Education
Global Partnership for Education
We are the world’s only partnership and fund focused on providing quality education to children in lower-income countries.
·globalpartnership.org·
Global Partnership for Education
Ollie - WordPress block theme and WordPress tutorials
Ollie - WordPress block theme and WordPress tutorials
The world’s most popular website builder just got even better With WordPress and the Ollie block theme, you can create beautiful, customizable websites with a few clicks, not code. For the past few years, a bold initiative has been underway to modernize WordPress with a powerful content and site editing engine, and now, it’s here. Instead of building your site with code, you can use the new site editor to build your site with blocks, pattern designs, and a fully-customizable design system. You just need a WordPress block theme to get started. That’s where Ollie comes in. Ollie is a powerful new WordPress block theme that enables easy-peasy site building within the native WordPress interface, no page builder plugin required. Best of all, Ollie is super lightweight, performant, and its pixel-perfect, responsive design system ensures your websites look great on all devices. Oh yeah, and it’s totally free!
#wordpress
·olliewp.com·
Ollie - WordPress block theme and WordPress tutorials
We Are All Going to Die, Thanks to AI | House of Beautiful Business
We Are All Going to Die, Thanks to AI | House of Beautiful Business
The dream: AI will exponentially enhance our productivity and creativity. It will optimize everything that can be optimized, freeing us humans up to do work that truly matters. It will lead to new breakthroughs in science, scale up mental health services, detect and cure cancer, and more. It will finally enable humanity to realize its full potential. The nightmare: present and future harm. Estimates suggest AI will eliminate 300 million jobs worldwide, with 18 percent of work to be automated, over-proportionally affecting knowledge workers in advanced economies. (As Rest of World reports, image-generating AI is already stealing the jobs of China-based video game artists and illustrators.) AI will destroy the very fabric of our societies as we know it, threaten the core of our work-based identities, exacerbate social divisions and discrimination, blur the lines between truth and fiction, unleash unprecedented waves of propagandistic misinformation (imagine Elon Musk launching an AI company named TruthGPT and training its AI based on Twitter data—oh wait…), impose a dominant, all-encompassing, all-knowing universal operating system, an aiOS, on us, start wars, and ultimately, as AI morphs into AGI, go HAL or M3GAN-style rogue and extinguish the human race.
#ai#future#ideas#writing#netnarr
·houseofbeautifulbusiness.com·
We Are All Going to Die, Thanks to AI | House of Beautiful Business
What Is ChatGPT Doing … and Why Does It Work?—Stephen Wolfram Writings
What Is ChatGPT Doing … and Why Does It Work?—Stephen Wolfram Writings
That ChatGPT can automatically generate something that reads even superficially like human-written text is remarkable, and unexpected. But how does it do it? And why does it work? My purpose here is to give a rough outline of what’s going on inside ChatGPT—and then to explore why it is that it can do so well in producing what we might consider to be meaningful text. I should say at the outset that I’m going to focus on the big picture of what’s going on—and while I’ll mention some engineering details, I won’t get deeply into them. (And the essence of what I’ll say applies just as well to other current “large language models” [LLMs] as to ChatGPT.) The first thing to explain is that what ChatGPT is always fundamentally trying to do is to produce a “reasonable continuation” of whatever text it’s got so far, where by “reasonable” we mean “what one might expect someone to write after seeing what people have written on billions of webpages, etc.” So let’s say we’ve got the text “The best thing about AI is its ability to”. Imagine scanning billions of pages of human-written text (say on the web and in digitized books) and finding all instances of this text—then seeing what word comes next what fraction of the time. ChatGPT effectively does something like this, except that (as I’ll explain) it doesn’t look at literal text; it looks for things that in a certain sense “match in meaning”. But the end result is that it produces a ranked list of words that might follow, together with “probabilities”:
#ai#explainer
·writings.stephenwolfram.com·
What Is ChatGPT Doing … and Why Does It Work?—Stephen Wolfram Writings