Artificial Intelligence & Machine Learning,
Next-Generation Technologies & Secure Development
EIT Oxford’s Dr. Laura Gilbert Discusses AI Accountability and Responsible Adoption
The evolution of artificial intelligence is dramatically transforming various sectors, presenting myriad opportunities, while simultaneously raising significant ethical and regulatory questions. Both public and private organizations are grappling with the complexities that accompany AI integration, striving to ensure that these technologies not only exhibit capability but also transparency, security, and alignment with human oversight.
Dr. Laura Gilbert, the head of AI for Government at the Ellison Institute of Technology Oxford, and an advisor to the British government, cautions against an overemphasis on generative AI models. She advocates for the creation of dependable AI systems that prioritize human-centered design. “AI goes beyond mere generative models. The core challenge lies in engineering AI systems that enhance human decision-making rather than replace it,” Dr. Gilbert emphasized.
As AI regulations gain traction, both governmental bodies and corporations are racing to identify and mitigate potential risks. The U.K. government recently established an AI Safety Institute aimed at evaluating potential AI threats. However, Dr. Gilbert raised a pivotal concern: “While we have dedicated months to exploring AI risks, we must also consider the risks inherent in inaction. What might be the consequences of neglecting AI investment entirely?”
In a recent video interview with the Information Security Media Group, Dr. Gilbert addressed several pertinent topics, including effective strategies for presenting AI initiatives to leadership teams, the influence of AI on decision-making processes within businesses and government, and the emergence of interdisciplinary AI approaches across diverse sectors.
With a robust background in AI and data science, Dr. Gilbert previously established and led the Incubator for Artificial Intelligence at 10 Downing Street and served as the founding director of the data science team (10DS). Prior to her transition to government service, she excelled as the chief information technologist at Rescon, spearheading research and development efforts.
