Re: AI Generated books and Reality defending

Thank you Milton also for the articles in your latest post
It would be enough in this case to identify the derivative work correctly
(as a summary)
While multi stakeholder collaboration is advisable, disallowing multiple
authors to publish a resource under the same
title without specifying the relationship to the already published work can
be implemented at virtually no cost independelty
To disallow duplicate is one of the key principle of good system design,
and relational databases, based on Codd principle of  Primary
Key/Uniqueness of Values/Integrity constraint
primary key
*A primary key*, also called a primary keyword, is a column in a relational
database table that's distinctive for each record. It's a unique
identifier, such as a driver's license number, telephone number with area
code or vehicle identification number (VIN). A relational database must
have only one primary key.


On Sun, Jan 14, 2024 at 4:47 PM ProjectParadigm-ICT-Program <
metadataportals@yahoo.com> wrote:

> There are some relatively simple solutions to copyright infringement and
> plagiarism. But they require multiple stakeholder collaboration. For peer
> reviewed articles. magazine articles and publications the use of unique
> identifiers ISBN, ISSN and article ID codes could be linked to trackable
> unique identifiers (possibly embedded). The music industry is already
> employing such schemes.
>
> Undoubtedly the EU AI Act will stimulate the development of such schemes.
> But the main obstacle remains: how do we fight plagiarism in a world that
> demands increasing open and equitable access to scientific publications?
>
> Milton Ponson
> GSM: +297 747 8280
> PO Box 1154, Oranjestad
> Aruba, Dutch Caribbean
> Project Paradigm: Bringing the ICT tools for sustainable development to
> all stakeholders worldwide through collaborative research on applied
> mathematics, advanced modeling, software and standards development
>
>
> On Saturday, January 13, 2024 at 03:09:55 AM AST, Paola Di Maio <
> paola.dimaio@gmail.com> wrote:
>
>
> It is becoming hard to keep up with development and threats in this world
> but some stories are central to AIKR and must know
>
> The article below tells how authors of AI are being faked but technically,
> summaries are good and legal. I can see some simple non technical policy
> solutions to the conflict: (do quote me) book sellers and platforms could
> disallow multiple authors to claim the same title, kind of simple, based on
> first come basis.
>
> The article also points to a new fact checking business (reality
> defending) This world is becoming increasingly challenging and the ability
> to discern must be prioritized
>
> I was enrolled in one of Melanie's courses at some point, so I now the
> genius behind the woma
> https://www.wired.com/story/scammy-ai-generated-books-flooding-amazon/
>
>
>    1. When AI researcher Melanie Mitchell published *Artificial
>    Intelligence: A Guide for Thinking Humans* in 2019, she set out to
>    clarify AI’s impact. A few years later, ChatGPT
>    <https://www.wired.com/tag/chatgpt/> set off a new AI boom—with a side
>    effect that caught her off guard. An AI-generated imitation of her book
>    appeared on Amazon, in an apparent scheme to profit off her work.
>
>
>