Will Humanity Be Rendered Obsolete by AI?
- URL: http://arxiv.org/abs/2510.22814v2
- Date: Sat, 01 Nov 2025 18:18:13 GMT
- Title: Will Humanity Be Rendered Obsolete by AI?
- Authors: Mohamed El Louadi, Emna Ben Romdhane,
- Abstract summary: This article analyzes the existential risks artificial intelligence (AI) poses to humanity, tracing the trajectory from current AI to ultraintelligence.<n>Considering machines' exponentially growing cognitive power and hypothetical IQs, it addresses the ethical and existential implications of an intelligence vastly exceeding humanity's, fundamentally alien.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: This article analyzes the existential risks artificial intelligence (AI) poses to humanity, tracing the trajectory from current AI to ultraintelligence. Drawing on Irving J. Good and Nick Bostrom's theoretical work, plus recent publications (AI 2027; If Anyone Builds It, Everyone Dies), it explores AGI and superintelligence. Considering machines' exponentially growing cognitive power and hypothetical IQs, it addresses the ethical and existential implications of an intelligence vastly exceeding humanity's, fundamentally alien. Human extinction may result not from malice, but from uncontrollable, indifferent cognitive superiority.
Related papers
- Evaluating Intelligence via Trial and Error [59.80426744891971]
We introduce Survival Game as a framework to evaluate intelligence based on the number of failed attempts in a trial-and-error process.<n>When the expectation and variance of failure counts are both finite, it signals the ability to consistently find solutions to new challenges.<n>Our results show that while AI systems achieve the Autonomous Level in simple tasks, they are still far from it in more complex tasks.
arXiv Detail & Related papers (2025-02-26T05:59:45Z) - On the consistent reasoning paradox of intelligence and optimal trust in AI: The power of 'I don't know' [79.69412622010249]
Consistent reasoning, which lies at the core of human intelligence, is the ability to handle tasks that are equivalent.
CRP asserts that consistent reasoning implies fallibility -- in particular, human-like intelligence in AI necessarily comes with human-like fallibility.
arXiv Detail & Related papers (2024-08-05T10:06:53Z) - Perceptions of Sentient AI and Other Digital Minds: Evidence from the AI, Morality, and Sentience (AIMS) Survey [0.0]
One in five U.S. adults believed some AI systems are currently sentient, and 38% supported legal rights for sentient AI.<n>The median 2023 forecast was that sentient AI would arrive in just five years.<n>The development of safe and beneficial AI requires not just technical study but understanding the complex ways in which humans perceive and coexist with digital minds.
arXiv Detail & Related papers (2024-07-11T21:04:39Z) - Keep the Future Human: Why and How We Should Close the Gates to AGI and Superintelligence, and What We Should Build Instead [0.20919309330073077]
Advances in AI have transformed AI from a niche academic field to the core business strategy of many of the world's largest companies.<n>This essay argues that we should keep the future human by closing the "gates" to smarter-than-human, autonomous, general-purpose AI.<n>Instead, we should focus on powerful, trustworthy AI tools that can empower individuals and transformatively improve human societies' abilities to do what they do best.
arXiv Detail & Related papers (2023-11-15T23:41:12Z) - The Generative AI Paradox: "What It Can Create, It May Not Understand" [81.89252713236746]
Recent wave of generative AI has sparked excitement and concern over potentially superhuman levels of artificial intelligence.
At the same time, models still show basic errors in understanding that would not be expected even in non-expert humans.
This presents us with an apparent paradox: how do we reconcile seemingly superhuman capabilities with the persistence of errors that few humans would make?
arXiv Detail & Related papers (2023-10-31T18:07:07Z) - Fairness in AI and Its Long-Term Implications on Society [68.8204255655161]
We take a closer look at AI fairness and analyze how lack of AI fairness can lead to deepening of biases over time.
We discuss how biased models can lead to more negative real-world outcomes for certain groups.
If the issues persist, they could be reinforced by interactions with other risks and have severe implications on society in the form of social unrest.
arXiv Detail & Related papers (2023-04-16T11:22:59Z) - Can Machines Imitate Humans? Integrative Turing-like tests for Language and Vision Demonstrate a Narrowing Gap [56.611702960809644]
We benchmark AI's ability to imitate humans in three language tasks and three vision tasks.<n>Next, we conducted 72,191 Turing-like tests with 1,916 human judges and 10 AI judges.<n>Imitation ability showed minimal correlation with conventional AI performance metrics.
arXiv Detail & Related papers (2022-11-23T16:16:52Z) - Artificial Intelligence and Life in 2030: The One Hundred Year Study on
Artificial Intelligence [74.2630823914258]
The report examines eight domains of typical urban settings on which AI is likely to have impact over the coming years.
It aims to provide the general public with a scientifically and technologically accurate portrayal of the current state of AI.
The charge for this report was given to the panel by the AI100 Standing Committee, chaired by Barbara Grosz of Harvard University.
arXiv Detail & Related papers (2022-10-31T18:35:36Z) - The Turing Trap: The Promise & Peril of Human-Like Artificial
Intelligence [1.9143819780453073]
The benefits of human-like artificial intelligence include soaring productivity, increased leisure, and perhaps most profoundly, a better understanding of our own minds.
But not all types of AI are human-like. In fact, many of the most powerful systems are very different from humans.
As machines become better substitutes for human labor, workers lose economic and political bargaining power.
In contrast, when AI is focused on augmenting humans rather than mimicking them, then humans retain the power to insist on a share of the value created.
arXiv Detail & Related papers (2022-01-11T21:07:17Z) - Making AI 'Smart': Bridging AI and Cognitive Science [0.0]
With the integration of cognitive science, the 'artificial' characteristic of Artificial Intelligence might soon be replaced with'smart'
This will help develop more powerful AI systems and simultaneously gives us a better understanding of how the human brain works.
We argue that the possibility of AI taking over human civilization is low as developing such an advanced system requires a better understanding of the human brain first.
arXiv Detail & Related papers (2021-12-31T09:30:44Z) - Trustworthy AI: A Computational Perspective [54.80482955088197]
We focus on six of the most crucial dimensions in achieving trustworthy AI: (i) Safety & Robustness, (ii) Non-discrimination & Fairness, (iii) Explainability, (iv) Privacy, (v) Accountability & Auditability, and (vi) Environmental Well-Being.
For each dimension, we review the recent related technologies according to a taxonomy and summarize their applications in real-world systems.
arXiv Detail & Related papers (2021-07-12T14:21:46Z) - On Controllability of AI [1.370633147306388]
We present arguments as well as supporting evidence indicating that advanced AI can't be fully controlled.
Consequences of uncontrollability of AI are discussed with respect to future of humanity and research on AI, and AI safety and security.
arXiv Detail & Related papers (2020-07-19T02:49:41Z) - Human $\
eq$ AGI [1.370633147306388]
General Intelligence (AGI) and Human-Level Artificial Intelligence (HLAI) have been used to interchangeably refer to the Holy Grail of Artificial Intelligence research.
This paper argues that implicit assumption of equivalence between capabilities of AGI and HLAI appears to be unjustified, as humans are not general intelligences.
arXiv Detail & Related papers (2020-07-11T14:06:13Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.