Artificial intelligence: Neither artificial nor intelligent?

作者
Rajinder Kumar Bansal
标识
DOI:10.4103/sej.sej_8_24
摘要

Sir, Humans have tried to recreate intelligence for effective decision-making and decreasing their workload by means of technology, known as artificial intelligence (AI). It works by mimicking the functioning of the human brain.[1] The term AI was given by John McCarthy in 1956, to describe a system that resembles the human brain for problem-solving.[2] Machine learning is the subfield of AI, which works by learning patterns from data, whereas deep learning uses artificial neural networks, with multiple layers to detect features such as lines, edges, textures, and complex shapes. In recent years, so much hype has been created about AI, but the real question is whether AI is actually as intelligent as we think. Machines based on AI systems are preprogrammed with huge amounts of data which are provided by humans to develop models for their functioning. John Searle highlighted that the intelligence we are trying to manufacture artificially is not really intelligence but is an illusion of human intelligence which is characteristic of the human species.[3] ChatGPT is a creative and professional output of real humans, musicians, programmers, and writers. Evgeny Morozov called AI as non-AI, as according to him, AI is neither artificial nor intelligent.[4] Human intelligence is the ability to create, think, reason, and remember, and is capable of problem-solving so that we can understand the world around us to make decisions, which is not possible with the use of AI.[5] Machines can perform tasks and do computations at lightning speed more efficiently than humans. They can also create music, paint, and modulate human voice and speech. However, machines do not have emotions and sentiments, for example, they cannot lash out anger on the chessboard or feel the pressure of an opponent’s intimidation tactics. They are not proud of their work as humans do. Chatbots can create an illusion of human emotions, but they cannot provide emotional support like humans can. Machines can provide feedback and can answer questions but cannot tell logic for the answer. Moreover, machines do not know what they are doing, why they are doing, and more importantly, they do not even want to know, and this is what separates them from humans.[6] According to Yuval Noah Harari, we must take into account humor, wit, morality, ethics, self-awareness, intuition, consciousness, imagination, deception, selfishness, and the ability to lie and cheat to evaluate intelligence. Machines have huge knowledge depending on the data stored in them. If knowledge and information were the only criteria for intelligence, then any supercomputer would have replaced Einstein and millions of copies of his mind would have been reproduced by today.[6] Machines can remember input information, perform better, faster, and efficiently, but they do not have an independent existence, and they cannot draw conclusions from their experiences as humans can.[7] AI is the most important and rapidly growing technology today. However, the contribution of AI does not make machines intelligent, as there is no system till such date that can replicate human intelligence even a little bit. If we consider self-awareness and humanity rather than a goal-based approach to evaluate intelligence, then these artificial machines do not even qualify to be called intelligent. In the future, machines can be made artificially intelligent by improving the accuracy of unsupervised learning algorithms as they do not need humans to annotate the data and learn on their own by identifying hidden patterns and structures in data. AI used today is weak or artificial narrow intelligence, which carries only specific tasks. With further research, artificial general intelligence will develop, which has human-like intelligence and can solve complex tasks with human cognitive abilities without any training. AI machines will definitely step in the future, but when, only time has the answer. Financial support and sponsorship Nil. Conflicts of interest There are no conflicts of interest.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
罗远远完成签到,获得积分10
刚刚
楚chu完成签到,获得积分10
刚刚
刚刚
2秒前
2秒前
3秒前
3秒前
3秒前
wendy发布了新的文献求助30
3秒前
李华完成签到,获得积分20
3秒前
可爱的函函的应助被HYXin采纳,获得10
6秒前
6秒前
8秒前
波吉完成签到,获得积分10
8秒前
要减肥小白菜完成签到,获得积分20
9秒前
10秒前
含蓄衣完成签到,获得积分10
11秒前
LienAo完成签到 ,获得积分0
11秒前
LHL完成签到,获得积分10
11秒前
12秒前
12秒前
天涯明月发布了新的文献求助10
12秒前
明亮丸子完成签到,获得积分10
14秒前
yizhou发布了新的文献求助10
15秒前
17秒前
17秒前
zou完成签到 ,获得积分10
17秒前
思源的应助被行知采纳,获得10
18秒前
索里穆尔完成签到,获得积分20
18秒前
拉唑完成签到,获得积分10
18秒前
20秒前
健忘豌豆完成签到,获得积分10
20秒前
美满的香菇完成签到,获得积分20
22秒前
阿白发布了新的文献求助10
22秒前
22秒前
杜仲_商陆完成签到,获得积分10
22秒前
23秒前
Hi发布了新的文献求助10
23秒前
索里穆尔发布了新的文献求助10
23秒前
丘比特的应助被vv采纳,获得30
24秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Les Mantodea De Guyane 2000
Energie-Contracting 1500
Klimaschutzrecht durch den Energiesektor im Mehrebenensystem – Ein Rechtsvergleich 1000
Stochastic Models in Operations Research,Vol. 2 600
Guidelines for fracture-safe and fatigue-reliable design of steel structures 600
Problems and Solutions for Integer and Combinatorial Optimization: Building Skills in Discrete Optimization 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8026262
求助须知:如何正确求助?哪些是违规求助? 9467619
关于积分的说明 21227262
捐赠科研通 7597163
什么是DOI,文献DOI怎么找? 3387560
关于科研通互助平台的介绍 2520154
邀请新用户注册赠送积分活动 2423956