The US government is prioritizing the development of more dependable and trustworthy AI technology through its adoption of artificial intelligence. In a recent interview with Executive Mosaic, Digital Science President Stephen Leicht highlighted that successful AI systems require three crucial elements: data, technology, and people.
Leicht stressed the importance of data in powering AI systems. He emphasized that refined and accurate information enables AI to deliver better answers and insights. As the world’s largest repository of research data outputs, Digital Science can predict global research and development priorities.
Technology has also been a significant investment area for companies like OpenAI, Microsoft, Google, IBM, and Meta in developing large language models for AI. Understanding these technologies’ components is vital for achieving optimal outcomes when using AI to solve problems.
According to Leicht, people involved in developing, iterating, and deploying AI technologies are critical to the success of these systems. Individuals who possess expertise in the languages of AI and can effectively implement these technologies are essential for advancing AI capabilities.
The video interview provides further insights into the United States’ position in the global AI competition and strategies for protecting against potential threats from emerging AI technologies.
