Sunday, October 13, 2024

I suppose artificial intelligence is better than no intelligence…

https://www.preprints.org/manuscript/202410.0360/v1

The Use of Artificial Intelligence in Political Decision-Making

The use of artificial intelligence for political decision-making is in an early stage of development; however, there are several questions that arise about its current and hypothetical uses. These questions often come from areas of philosophy such as ethics, political philosophy, and logic. In this article, first, the theoretical approaches from which the current and hypothetical uses of artificial intelligence for political decision-making can be interpreted will be presented. These approaches include realistic politics, bureaucracy theory, and conflict theory. Then, the possible uses that artificial intelligence could have in politics, as well as the attempts that have already been made, will be discussed. Subsequently, the logical, ethical, and political problems that the use of artificial intelligence for political decision-making could cause will be outlined. Next, a basic experiment will be presented on what kind of political decisions artificial intelligence could suggest. Finally, the points previously discussed will be analyzed from the mentioned theories. The conclusion reached was that, at the present time, the use of artificial intelligence for political decision-making could align more with the approaches of Machiavelli, focusing primarily on achieving goals such as maintaining power, while downplaying moral dilemmas.





Avoiding dystopia does not result in utopia.

https://www.researchgate.net/profile/Douglas-Youvan/publication/384665784_Orwell_Huxley_and_AI_Dystopian_Fiction/links/6701d398b753fa724d5fa84b/Orwell-Huxley-and-AI-Dystopian-Fiction.pdf

Orwell, Huxley, and AI Dystopian Fiction

In the realm of dystopian fiction, few authors have shaped our collective imagination as profoundly as George Orwell and Aldous Huxley. Orwell’s 1984 and Huxley’s Brave New World present chilling visions of future societies, each shaped by technological control yet distinct in their methods. 1984 illustrates a world dominated by surveillance and truth manipulation, while Brave New World explores the dangers of a comfort-driven society where individuality is sacrificed for convenience. These classic works offer cautionary insights into the ethical implications of technology, surveillance, and control. As artificial intelligence (AI) becomes increasingly integrated into modern life, the themes explored by Orwell and Huxley remain profoundly relevant. Modern AI-driven dystopian fiction builds on these authors' legacies, prompting questions about data privacy, personal autonomy, and social responsibility. By examining the intersection of AI and dystopian themes, we can explore pathways for ethical AI development that respect human dignity and uphold freedom, drawing inspiration from cautionary tales to foster a balanced, conscientious approach to technology.





Another look at the uses of AI.

https://appinventiv.com/blog/machine-learning-in-retail/

How Machine Learning in Retail is Redefining the Sector - Key Business Opportunities and Challenge

To help you gain a better understanding of how ML is changing the retail industry, here are some of the key applications that make it a game-changing solution for retailers:





Keep AI in perspective.

https://garymarcus.substack.com/p/llms-dont-do-formal-reasoning-and

LLMs don’t do formal reasoning - and that is a HUGE problem

A superb new article on LLMs from six AI researchers at Apple who were brave enough to challenge the dominant paradigm has just come out.

Everyone actively working with AI should read it, or at least this terrific X thread by senior author, Mehrdad Farajtabar, that summarizes what they observed. One key passage:

we found no evidence of formal reasoning in language models …. Their behavior is better explained by sophisticated pattern matching—so fragile, in fact, that changing names can alter results by ~10%!”

One particularly damning result was a new task the Apple team developed, called GSM-NoOp




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