Open access Prosiding
Can AI Surpass Human Capabilities in Education? Exploring the Limits and Possibilities
World Conference on Governance and Social Sciences · Vol. 2 (2024) · pp. 74–81
- ISSN
- 3026-7218
- Published
- 2024-12-30
- Publisher
- Faculty of Social and Political Sciences
- Language
- en
Abstract
As Artificial Intelligence (AI) continues to evolve, the question of whether AI can surpass human capabilities becomes increasingly relevant. This paper explores the potential and limitations of AI in replicating and exceeding human intelligence in the field of education, from cognitive tasks and decision making to creativity and emotional intelligence. While AI systems have demonstrated superiority in specific areas such as data processing, pattern recognition, and performing repetitive tasks, they face significant challenges in emulating uniquely human attributes like intuition, empathy, and ethical judgement. Through a systematic literature review, this research delves into the future possibilities of AI’s development, examining whether technological advancements could lead to machines with the capacity to outperform humans in all aspects of intelligence. Moreover, the paper addresses the ethical implications of such advancements, including concerns about job displacement, human-AI collaboration, and the potential risks of AI autonomy. Through a balanced analysis, this paper argues that while AI may complement and enhance human capabilities, it is unlikely to fully replicate or replace the diverse range of human intelligence and creativity in the foreseeable future.
Keywords
Collaboration network of the authors
19 authors · 58 co-authorship links
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| Co-author | Organisation | Joint articles |
|---|---|---|
| Azka Nur Khalila | Affiliation unknown | 1 |
| Shakira Azizah | Affiliation unknown | 1 |
| Laillan Nurcahyaningsih | Affiliation unknown | 1 |
| Hanna Monalisa | Affiliation unknown | 1 |
| Musdalifah | Affiliation unknown | 1 |
| Muhammad Danu Raihan Ramadan | Affiliation unknown | 1 |
| Insyira Putri | Affiliation unknown | 1 |
| Nur Liyani | Affiliation unknown | 1 |
| Ni Luh Putu Setya Dewi | Affiliation unknown | 1 |
| Clarence Valerie Shane Tumbel | Affiliation unknown | 1 |
| Alfin Wong | Affiliation unknown | 1 |
| Alya Hanifah Irwadi | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.