Making Sense of Research on How People Use AI
Briefly

Making Sense of Research on How People Use AI
"As generative AI plays an increasingly prominent role in our lives-at work as well as at home-we'd all do well to develop our own nuanced viewpoints about the technology. Over the past three years in particular, it's become far too big to ignore. A useful way to think about this new phenomenon is to separate the rapid changes in the technology itself from the ensuing changes in human behavior as"
"we use generative AI in our daily lives. On the technology side, there's lots to keep track of: latest model releases, benchmark performance records, breathtaking funding announcements, training data sources, new features, and much more. On the human side, it's about understanding how people are actually using the new technology, and why. My work is focused on the latter-our responses and adaptations to AI-the anthropological side of the story."
Generative AI has become too significant to ignore, influencing both work and home life and demanding personal nuanced viewpoints. Technological developments include rapid model releases, benchmark performance improvements, major funding, training data concerns, new features, and continual innovation. Human responses involve understanding actual usage patterns and motivations as people integrate generative AI into daily routines. Separating technological change from behavioral change helps clarify what to track on each side. The focus on anthropological aspects emphasizes studying responses and adaptations to AI to understand societal impact and practical adoption dynamics. This perspective guides research and policy priorities.
Read at Harvard Business Review
Unable to calculate read time
[
|
]