Artificial Intelligence Adoption

Artificial intelligence (AI) adoption research focuses on understanding and overcoming barriers to successful AI implementation across various sectors. Current research emphasizes developing frameworks for responsible AI governance, addressing data quality issues, and improving human-AI interaction through user-centered design and effective communication strategies. This work is crucial for maximizing the benefits of AI while mitigating risks, impacting fields from healthcare and manufacturing to education and electoral processes through increased efficiency, improved decision-making, and enhanced user experiences.