AI in football
This research poster highlights the ethical challenges associated with the use of AI in football.
Privacy concerns, bias in AI algorithms, lack of transparency and accountability, and unintended
consequences were identified. Recommendations to address these challenges include clear
guidelines, regular audits for bias, transparency, and interdisciplinary collaboration. Addressing
these challenges is crucial to ensure the responsible use of AI in football.
Introduction Objective Results
This research poster aims to identify the
Artificial intelligence (AI) has become increasingly ethical challenges associated with the use of The following ethical challenges have been identified:
integrated into the world of football, providing AI in football and provide recommendations
Privacy concerns: AI systems collect vast amounts of
data on players and teams, raising concerns about
new opportunities for performance analysis and
on how to address these challenges. privacy and data protection.
player safety. However, there are ethical Bias in AI algorithms: There is a risk that AI algorithms
challenges associated with the use of AI in may reproduce and amplify existing biases and
football that need to be addressed to ensure that discrimination in football.
the technology is used responsibly. Methodology Transparency and accountability: The complexity of AI
systems makes it difficult to understand how decisions
are made, which can lead to a lack of accountability.
The methodology used involves a review of existing literature on the Unintended consequences: The use of AI in football can
use of AI in football to identify potential ethical challenges. have unintended consequences, such as reducing the
Additionally, experts in the field of football, AI, and ethics were role of human decision-making and creativity.
interviewed to gain insights into the ethical implications of AI use in
football. Through a combination of literature review and expert
interviews, the research identified key ethical challenges associated
with AI in football, including privacy concerns, bias in AI algorithms,
lack of transparency and accountability, and unintended
consequences. Recommendations to address these challenges
were also proposed based on the literature review and expert
interviews. The methodology aims to provide a comprehensive
analysis of the ethical challenges of AI in football and provide
recommendations for addressing these challenges.
Recommendations:
To address these ethical challenges, the following recommendations are proposed:
Establish clear guidelines on the use of AI in football, including privacy and data protection policies.
Ensure that AI algorithms are regularly audited for bias and discrimination.
Promote transparency in the use of AI systems by providing clear explanations of how decisions are made.
Encourage interdisciplinary collaboration between experts in football, AI, and ethics to anticipate and mitigate
unintended consequences.
Conclusion
The use of AI in football has the potential to
transform the sport, but it is important to
address the ethical challenges associated
with the technology to ensure that it is used
responsibly and for the benefit of all
stakeholders.
