Case Study 1 Flashcards
Introduction to AI
Definition of AI and its varying types. (Machine Learning, Neural networks, Natural Language Processing, etc.)
General intelligence and super intelligence
How does AI work?
- AI possibility where the player will shoot from, attached to goal tenders water bottle
AI
The global AI in sports market is projected to reach $19.2 billion by 2030, signifying AI’s transformative potential in post-game analysis, in-game activities, and fan experiences
Overview of technology advancements in sports
- AI referees (soccer, hockey, football)
- Training and coaching
- Diet plans
- Player performance analysis and scouting
- Game strategy development
- Broadcasting and advertising
- Sports journalism
- Match predictions/betting odds
- Fan engagement
- Virtual reality sports and gamification
Overview of technology advancements in sports integrity
Clearspeed’s voice analytics technology, powered by AI, provides risk insights that enable confident decision-making in organizations and expedites the clearance of individuals
The technology is utilized globally, improving risk confidence, reducing costs, and enhancing customer experience in over 20 countries and across 38 languages
In the insurance industry, clearspeed contributes to faster claims resolution, reduced fraud, and the fostering of improved relationships between insurers and policyholders
- team gets flagged, investigation begins, AI phone call, used for when player has been betting on their own team
Case: in-game AI strategist hypothetical optimal tactical assistant (HOTA)
HOTA is an AI assistant coach that provides live in-game strategic advice to teams during competitions
It uses historical game data, player statistics, scouting reports, medical records to optimize strategy recommendations
Uniquely gathers insights from players’ social media and circles to calculate personal life impact on performance
Considers indirect factors like weather, fan engagement that affect team morale and pressure
Uses computer vision technology to capture biometrics and movements of all players
Processes data through predictive engines using remote servers and simulations to achieve high accuracy
Provides guidance to coaches via AR visors and earpieces to optimize decisions
Overlays game time possibilities and evaluates fatigue, injuries to guide superior strategies
Goes beyond pointing out mistakes - optimizes play design and reduces errors
Aims to augment human coaching without dictating decisions themselves
Ethical implications of HOTA
- information can be input wrong
- anything written can be false (like team morale)
- easier isn’t always better
Potential for algorithmic biases leading to discrimination against certain athletes or teams
Model trained in 1940 would be a nazis
Only do what they’ve trained to do
Other information
Over reliance on data-driven optimization risks diminishing human creativity and autonomy
Risk of over-rationalization sterilizing unpredictable and exciting elements of sport
Maximizing performance at all costs could promote a dangerous win-at-all-costs mentality that corrodes sporting ethics and the spirit of play
Exploiting vulnerabilities or weaknesses in the opposition through unethical means violates ideals of respect and sportsmanship inherent to the Olympic spirit.
- how we can punish the human (opposition)
Even scales
Justice in rule enforcement and determining accountability with non-human AI systems
Scouting
Outcomes being determined more by technology rather than merit and effort
Potential over-emphasis on quantification ignoring intangible qualities like leadership
- scouting - could ruin teams
