Open source plays a crucial and foundational role in the field of artificial intelligence (AI). The intersection of open source principles and AI development has contributed to the growth, accessibility, and collaborative nature of AI research and applications. The World Economic Forum brought this interesting topic to our attention in their article, “Why open-source is crucial for responsible AI development.”

Open source fosters a collaborative environment where researchers and developers can share knowledge, code, and best practices. This collaborative model accelerates the pace of innovation by allowing the global community to build upon each other’s work, contributing to the collective advancement of AI.

Open source is instrumental in advancing the field of AI by promoting accessibility, collaboration, transparency, and innovation. The combination of open source principles and AI development has led to a vibrant ecosystem where individuals and organizations worldwide contribute to the evolution of AI technologies.

The biggest challenge is that most organizations have little knowledge on how AI systems make decisions and how to interpret AI and machine learning results. Explainable AI allows users to comprehend and trust the results and output created by machine learning algorithms.

Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.