The Impact of Artificial Intelligence on the Chess World

Iliescu, Delia Monica Duca

doi:10.2196/24049

Cited by 11 publications

(4 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Almost until the end of the 20th century, chess was considered the standard of human intelligence, and its algorithms were unattainable for automatic machines. However, in the 21st century, a simple computer is able to play at the strength of a master without any mysticism [18]. Still, a computer cannot create a game like chess, although attempts to develop games with the help of AI are already underway.…”

Section: Advances In the Application Of Neural Networkmentioning

confidence: 99%

ChatGPT: Application in Chemistry Education and Challenges

Kodkin,

Artem’eva

2024

JCC

View full text Add to dashboard Cite

The paper discusses the advancements and applications of neural networks, specifically ChatGPT, in various fields, including chemistry education and research. It examines the benefits of AI and ChatGPT, such as their ability to process and analyze large amounts of data, create personalized training systems, and offer problem-solving recommendations. The paper delves into practical applications, showcasing how ChatGPT can be utilised to augment chemistry learning. It provides examples of using ChatGPT for creating tests, generating multiple-choice questions, and studying chemistry in general. Concerns are voiced about the ethical and societal impact of AI development.In conclusion, it explores the exciting potential of AI to tackle challenges that may exceed human capabilities alone, paving the way for further exploration and collaboration between humans and intelligent machines.

show abstract

Section: Advances In the Application Of Neural Networkmentioning

confidence: 99%

ChatGPT: Application in Chemistry Education and Challenges

Kodkin,

Artem’eva

2024

JCC

View full text Add to dashboard Cite

show abstract

“…Factor 3: Higher or Lower Stakes Since the AI system Deep Blue won a game of chess against world champion Gary Kasparov in 1997, chess-playing AI has evolved and with software such as Stockfish and Alpha Zero its level of play has surpassed human ability by a large gap (Iliescu, 2020). This is a clear-cut example of AI which is competing (see Factor 1) in that it does exactly what people do, and all of what they do.…”

Section: Four Factors Influencing Creative Agencymentioning

confidence: 99%

“…At the same time, its performance surpasses human performance (see Factor 2). However, chess is still thriving, even more than ever, with many people playing the game and popularity remaining high (Iliescu, 2020). This could be seen as evidence that competing AI does not reduce creative agency, but only if we were to neglect this last factor of stakes.…”

Section: Four Factors Influencing Creative Agencymentioning

confidence: 99%

AI’s Influence on Human Creative Agency

Watkins,

Barak-Medina

2023

Preprint

View full text Add to dashboard Cite

Emerging AI capabilities are reshaping traditional creative problem solving roles, creating tensions in various professions. It is therefore time to begin examining the impacts of Artificial Intelligence (AI), including Generative AI (GenAI), on human creative agency. While AI presents challenges to creative agency, it also opens avenues for growth, necessitating a balanced approach to leverage its potential. To initiate a professional dialogue, we propose a framework outlining the influence of three aspects of AI on creative agency: whether the AI system’s perceived functionality is competing or complementing to human skills; the perceived effectiveness or level of performance of AI systems; and, whether the AI systems perform a high-stakes or a low-stakes function. The important moderating role of AI literacy on these three aspects is emphasized.

show abstract

“…Modeling and classifying the playing styles of players is a challenging but fascinating problem. It can give many potential applications, such as targeted training and preparations, AIassisted cheating detection [34], [35], even wide-range psychological research [21], [22], [36], [37].…”

Section: B Behavior and Style Modelingmentioning

confidence: 99%

PGD: A Large-scale Professional Go Dataset for Data-driven Analytics

Gao¹

2022

Preprint

View full text Add to dashboard Cite

Lee Sedol is on a winning streak-does this legend rise again after the competition with AlphaGo? Ke Jie is invincible in the world championship-can he still win the title this time? Go is one of the most popular board games in East Asia, with a stable professional sports system that has lasted for decades in China, Japan, and Korea. There are mature datadriven analysis technologies for many sports, such as soccer, basketball, and esports. However, developing such technology for Go remains nontrivial and challenging due to the lack of datasets, meta-information, and in-game statistics. This paper creates the Professional Go Dataset (PGD), containing 98,043 games played by 2,148 professional players from 1950 to 2021. After manual cleaning and labeling, we provide detailed metainformation for each player, game, and tournament. Moreover, the dataset includes analysis results for each move in the match evaluated by advanced AlphaZero-based AI. To establish a benchmark for PGD, we further analyze the data and extract meaningful in-game features based on prior knowledge related to Go that can indicate the game status. With the help of complete meta-information and constructed in-game features, our results prediction system achieves an accuracy of 75.30%, much higher than several state-of-the-art approaches (64%-65%). As far as we know, PGD is the first dataset for data-driven analytics in Go and even in board games. Beyond this promising result, we provide more examples of tasks that benefit from our dataset. The ultimate goal of this paper is to bridge this ancient game and the modern data science community. It will advance research on Go-related analytics to enhance the fan experience, help players improve their ability, and facilitate other promising aspects. The dataset will be made publicly available.

show abstract

The Impact of Artificial Intelligence on the Chess World

Cited by 11 publications

References 4 publications

ChatGPT: Application in Chemistry Education and Challenges

ChatGPT: Application in Chemistry Education and Challenges

AI’s Influence on Human Creative Agency

PGD: A Large-scale Professional Go Dataset for Data-driven Analytics

Contact Info

Product

Resources

About