Yolanda Gil: Pioneering AI for Explanation, Provenance, and Science

Early AI Research & Development

• 💡 Yolanda Gil's childhood was disconnected from technology, but a deep love for science led her to pursue a PhD in the US.
• 🧠 Her PhD work focused on AI systems learning from failures in their environment and adjusting their knowledge through experiments.
• 🎯 At ISI, she integrated her work with the "expect" project, which concentrated on AI systems explaining their reasoning using knowledge representation and levels of abstraction.

Pioneering AI Applications

• 🤖 The Electric Elves project at ISI developed AI agents that collaborated to assist with office tasks, such as ordering lunch and automatically delaying meetings.
• 📱 She was involved in the PAL project, which aimed to create personal assistants that learn, eventually leading to the development of Siri, a conversational AI that transformed public perception of AI.
• 🌐 Collaborated with the Worldwide Web Consortium to create the PROV standard for web provenance, enabling users to verify the origin and creation of online information.

From Shortipedia to Wikidata

• 📚 Contributed to Shortipedia, an initiative to convert Wikipedia content into short, unambiguous, machine-processable assertions with an AI representation.
• 🔑 Insisted on incorporating provenance for each piece of information in Shortipedia, particularly to address questions that might have multiple valid answers.
• 🚀 Shortipedia evolved into Wikidata, a massive, multilingual project at the Wikimedia Foundation, which originated at ISI and now contains billions of facts.

AI for Scientific Discovery

• 🔬 Actively seeks collaborations with scientists in diverse fields like climate, neuroscience, and genomics to apply AI to complex research challenges.
• ✍️ Leads efforts to build AI systems that can write scientific papers, reproduce existing research, and continuously update findings with new data.
• 💡 Envisions AI asking new scientific questions in under-researched areas and enabling novel methods for scientific discovery that accelerate cures and environmental sustainability.