AI Prototyping

AI prototyping focuses on streamlining the development of AI applications, addressing challenges like model selection, data preparation, and ethical considerations. Current research emphasizes improving accessibility through no-code/low-code AutoML tools and integrating prompt engineering directly into UI design processes, alongside efforts to develop more comprehensive cognitive architectures for advanced AI systems. These advancements aim to accelerate the AI development lifecycle, enhance collaboration between AI experts and non-experts, and promote the responsible development of AI applications by proactively addressing potential harms.