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#knowledgecommons

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When you hear someone say that "AI is the future of search" as if it is a great thing, and a foregone conclusion, what they are actually saying is that the doors to any individual blog or website or resources are closing. The digital waypaths to finding sourced content directly are being shuttered and boarded up. That human search via multiple methods utilising various recommender systems is being removed. In favour of a single gateway to pre delivered materials all owned by private monopoly companies. And we are expected to react as if this is a good thing, the "future".

#ai#ChatGPT#GenAI
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Update. Bad news from the #NEH for #KnowledgeCommons (and the rest of us).
about.hcommons.org/2025/04/17/

"On April 2, 2025, we received notification that our NEH Infrastructure and Capacity Building Challenge Grant, awarded in 2020, was terminated effective immediately…On April 10, 2025, we received further…notification that our contract to provide the NEH’s Designated Public-Access #Repository was also being terminated…This loss is devastating…both for the financial impact it represents…but also for the unceremonious end to a goal we’d set for ourselves years ago…Not to mention the bigger picture here: that designated public-access repository is no longer needed, because it is assumed that the NEH will no longer be funding research, and thus there will be no results of research to make publicly accessible."

PS: All the agencies covered by the #OSTP #NelsonMemo must designate #OpenAccess repositories for their OA content. NEH was the only agency to designate a repo not hosted by the govt. All the other agency repos will be hosted by the govt, where they will be subject to political censorship or takedowns.

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Update. From @kfitz: "Digital Preservation in a Time of Disorder"
about.hcommons.org/2025/03/19/

"#KnowledgeCommons has applied for a significant grant from Lever for Change to build, implement, and sustain a digital preservation network that will be free from the US government’s, and any other single government’s, interference…KC is a #nonprofit, community-governed, #OpenAccess platform for creating and sharing knowledge world-wide…But, in the present moment, our US-centeredness is a significant threat to that mission. We propose to establish three linked but independent nonprofit public-benefit companies incorporated in the US, Europe, and South Africa, all dedicated to the social and technological processes of gathering, preserving, and ensuring the public accessibility of academic research."

My Website with homepage japanned.hcommons.org/ is at Knowledge Commons, formerly Humanities Commons. They have recently introduced a more detailed KC Works system of metadata and information on research repository deposits. The template of our profile pages allows for self-introductory and networking information as well as our deposits in the KC [Knowledge Commons] Works repository of academic and creative works. I have 85 deposits in a wide range of 25 genres or categories.

The new KC Works system also allows for editing and adding information, so I have gone through the 85 deposits, updating some of them especially to make the content more immediately accessible. Visitors to the deposit pages can usually see a PDF file of the content or download it, but if not, click on the Details tab and then the URL.

My Profile Page including the KCWorks deposits is at hcommons.org/members/stevemcca

#KnowledgeCommons #Education #OER #humanities #mastodon

@edutooters @academicchatter @hello @japan

japanned.hcommons.orgJapanned | Steve McCarty at Humanities Commons

Im writing a paper for an upcoming conference, probably titled 'The Knowledge Commons in the Age of AI". It will be a follow up to my paper from 2018 that discussed related topics (doi.org/10.1186/s40561-018-005 ).

Though I will reflect on some positive issues, focus will be on risks and challenges, so it will be a critique, not in praise of, AI. Any thoughts you have, or resources youd want to recommend, feel free.

SpringerOpenA smarter knowledge commons for smart learning - Smart Learning EnvironmentsThis paper takes the form of a discussion relating to a smarter knowledge commons, having come about due to implications arising from research into the development of a pragmatic pedagogical ‘guide to learning’ for smart learning environments. The paper does not discuss any research findings (which have not yet been established), but rather is about attempting to discover through examination of early adopter use cases the underlying challenge for smart learning design in relation to the delivery of personalised geo-spatially relevant knowledge. Solutions for the mapping and delivery of the knowledge web are tentatively suggested, making use of an existing meta-property framework, the Open Graph.Smart learning environments focus on learning in geo-spatially relevant learning locations, with tutors or learners engaged in tasks that may frequently require the searching and selecting of knowledge content to contribute to learning or in the further production of new digital knowledge content. This has led to considerations regarding where and how knowledge content is obtained, provided, produced or shared, and this paper examines issues related to the producing, searching and finding of knowledge content in these learning contexts. Practical examples are provided to illustrate how digital knowledge content plays a pivotal role in learning design and learner interactions taking place in smart learning, both for the content of learning and as part of the process for learning.Emphasis is on open access smart learning in relation to connected and collaborative pedagogical approaches. Considering the future development and pedagogies of open-access smart learning environments, we must ask how the knowledge commons, an integral part of this learning, can become ‘smarter’ for learning and teaching.
#ai#GenAI#AIEd

The tragedy of the knowledge commons, confirmed again by a very recent study, and predicted in 1993 by Turner, in "The Tragedy of the Commons and Distributed AI Systems". I write about this briefly in my HCII2024 paper (shared a few days ago) and another paper in the pipeline.

#ai #knowledgecommons #commons #academicchatter

apnews.com/article/ai-artifici

AP News · AI 'gold rush' for chatbot training data could run out of human-written textBy MATT O'BRIEN

When we teach WW1 history and show photographs of men in the trenches, and no one knows if they are real or midjourney fake then we are in deep trouble. Or teach scientific principles through research papers and don't know if the text is authentic human created or response engine output, we are in deep trouble. Imagine a hundred other contexts and you understand why gen ai is such a massive problem.