AI Development
Artificial intelligence (AI) development is rapidly advancing, driven by research focused on improving model capabilities, ensuring ethical and responsible development, and addressing the societal implications of increasingly powerful AI systems. Current research emphasizes mitigating risks associated with AI bias, promoting transparency and explainability, and establishing robust verification methods for international AI agreements. This field's significance lies in its potential to revolutionize various industries, from healthcare and finance to manufacturing and aviation, while simultaneously raising critical ethical and governance challenges that require careful consideration and proactive solutions.
Papers
Improving Task Instructions for Data Annotators: How Clear Rules and Higher Pay Increase Performance in Data Annotation in the AI Economy
Johann Laux, Fabian Stephany, Alice Liefgreen
The Global Impact of AI-Artificial Intelligence: Recent Advances and Future Directions, A Review
Chandregowda Pachegowda