Gómez advises women interested in AI to enter the field as it urgently needs diversity. She also emphasizes the importance of AI evaluation, stating that as AI systems become more intelligent, their evaluations should be as well. She believes that AI users should be aware of the working principles and limitations of AI algorithms and that the best way to build AI responsibly is to focus on evaluation, social impact assessment, and risk mitigation from the beginning of the design process. She also highlights the AI Act's role in regulating AI and promoting trustworthiness and transparency.
Key takeaways:
- TechCrunch is launching a series of interviews focusing on remarkable women who’ve contributed to the AI revolution, including Emilia Gómez, a principal investigator at the European Commission’s Joint Research Centre and scientific coordinator of AI Watch.
- Gómez's research is grounded in the computational music field, where she contributes to the understanding of the way humans describe music and the methods in which it’s modeled digitally.
- She is proud of her contributions to music-specific machine learning architectures, which have advanced the state of the art in the field, and her work in supporting the EU AI liability directive.
- Gómez believes that researchers should devote as many efforts to AI development as to AI evaluation, and that the best way to develop AI products responsibly is to spend the needed resources on evaluation, assessment of social impact and mitigation of risks before placing an AI system in the market.