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Limitations of Deep Learning vs. Human Intelligence: Training Data, Interpretability, Bias, and Ethics

Year: 2025

Type: article

Abstract: Deep Learning (DL) has brought a paradigm shift in innumerable fields and allowed machines to learn and decide to a very high extent. Its advantage is that it can analyze large sets of data, identify rather complex patterns, and learn from experience. DL models are widely used to perform complicated tasks [1], [2]. The state of the art in DL includes neural networks with two or more tiers and it has made progressive improvements in fields like image and voice identification, writing comprehension, language generation, and even decision-making self-governing systems [3]. These have led to growing concern and anticipation in the efficiency and rate of change that AI can bring about in industries and people [4].

Source: Applied Data Science and Analysis

DOI: 10.58496/adsa/2025/002

Authors: Yahya Layth Khaleel, Mustafa Abdulfattah Habeeb, Thierry Oscar Codjo EDOH

Institutions: University of Tikrit, University of Bonn

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

Open Access status: diamond

OpenAlex ID: W4408755144

FWCI: 8.721

Cites:

Cited by: 8

Related to: 10