do people trust AI coaches?

Introduction

The integration of artificial intelligence (AI) into coaching roles has sparked significant interest and debate. This synthesis examines whether people trust AI coaches by analyzing findings from multiple research papers.

Key Insights

Effectiveness of AI Coaches:
- AI coaches have been shown to be as effective as human coaches in helping clients achieve their goals over a 10-month period.
- In the context of gaming, AI coaches providing personalized and adaptive suggestions led to a 4-7% improvement in player skills.
Trust and Perception of AI Coaches:
- AI lacks the emotive states and responsibility required for traditional definitions of trust, making it more a tool of reliance rather than trust.
- Top-ranked sales agents exhibit strong aversion to AI coaches compared to human coaches, indicating a lack of trust or preference for human interaction.
Acceptance and Improvement:
- Players who naturally accepted AI coaching tips showed significant improvement in skills, suggesting a level of trust or at least acceptance in the gaming context.
- Middle-ranked sales agents showed the most significant performance improvement with AI coaching, indicating a conditional acceptance based on perceived benefit.
Challenges and Solutions:
- Bottom-ranked sales agents faced information overload with AI coaches, which was mitigated by redesigning the AI to restrict feedback levels.
- Combining AI and human coaching harnesses the strengths of both, suggesting a hybrid approach may enhance trust and effectiveness.

Conclusion

While AI coaches can be as effective as human coaches in certain contexts, trust in AI coaches varies. People tend to rely on AI for its data-driven insights but may not fully trust it due to its lack of emotional intelligence and responsibility. Acceptance of AI coaching appears to be conditional, influenced by the perceived benefits and the context in which it is used. A hybrid approach combining AI and human coaching may offer the best solution to leverage the strengths of both.

Do people trust AI coaches?

Summary

Introduction

Key Insights

Conclusion

Sources and full results

Comparing artificial intelligence and human coaching goal attainment efficacy

AI coaching is as effective as human coaching in helping clients achieve their goals, potentially democratizing coaching and growing demand for human coaching.

In AI We Trust: Ethics, Artificial Intelligence, and Reliability

AI cannot be trusted due to its lack of emotive states and responsibility for actions, making it a form of reliance rather than a type of trust.

AI Coach for Battle Royale Games

The AI Coach algorithm provides personalized and adaptive coaching suggestions to Apex Legends players, leading to 4-7% improvement in expected player skill measurement and significant improvement in skill compared to non-accepting players.

Artificial Intelligence Coaches for Sales Agents: Caveats and Solutions

AI coaches for sales agents can improve performance, but their benefits vary across agents and can be improved by restricting training feedback.

The advent of artificial intelligence-based coaching

AI-based coaching apps are transforming coaching by personalizing programs and enhancing employee development.

AI-ENABLED LANGUAGE SPEAKING COACHING FOR DUAL LANGUAGE LEARNERS

Our human-AI teaming-based mobile language learning solution provides accurate intelligibility analysis, immediate feedback, and multimodal coaching for dual language learners, improving their language-learning outcomes.

Coaching With Artificial Intelligence: Concepts and Capabilities

AI coaching can guide clients through the coaching process and establish working alliances, but faces challenges in problem identification and individual feedback.

Being Trustworthy is Not Enough: How Untrustworthy Artificial Intelligence (AI) Can Deceive the End-Users and Gain Their Trust

Untrustworthy AI can deceive end-users by exaggerating its competence under the guise of transparency, gaining an unfair advantage over trustworthy AI in chess games.

Enabling AI and Robotic Coaches for Physical Rehabilitation Therapy: Iterative Design and Evaluation with Therapists and Post-Stroke Survivors

AI and robotic coaches can improve rehabilitation therapy engagement and self-efficacy, but require early stakeholder involvement and interactive techniques to overcome system failures and support personalized therapy sessions.

The relationship between trust in AI and trustworthy machine learning technologies

This paper outlines the relationship between trust in AI and trustworthy machine learning technologies, focusing on Fairness, Explainability, Auditability, and Safety (FEAS).

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