The article "Five Premises to Understand Human–Computer Interactions as AI is Changing the World" by Manh-Tung Ho and Quan-Hoang Vuong explores the evolving dynamics of human-computer interactions in the age of advanced AI. The authors present five key premises to understand these interactions: 1. **Primacy of Structures**: Social, cultural, political, and historical structures influence both individuals and AI systems, shaping their behaviors and values. Machine learning systems are socialized through user feedback, reproducing societal norms and values. 2. **Desire for Agency**: Humans seek autonomy and freedom, even if they have highly intelligent machines. This desire for autonomy can lead to "existential perversity," where individuals act deliberately to assert their freedom and authenticity. 3. **Core Values**: Human–computer interactions must align with foundational values of truth, goodness, and beauty. To make wise choices, humans must draw on philosophical and scientific traditions to guide their decisions. 4. **Acculturative Emergence**: Values emerging from human–computer interactions can become mainstream, even if they were previously marginalized. These values can influence social dynamics in unexpected ways. 5. **Balancing Interactions**: Human–computer interactions impact human-to-human and human-to-nature interactions. Finding a balance among these interactions is crucial for human flourishing and should be a focus of research. The authors emphasize the need for interdisciplinary exploration to understand how the human mind changes as it interacts with increasingly sophisticated AI systems, and to ensure that these interactions promote human well-being.The article "Five Premises to Understand Human–Computer Interactions as AI is Changing the World" by Manh-Tung Ho and Quan-Hoang Vuong explores the evolving dynamics of human-computer interactions in the age of advanced AI. The authors present five key premises to understand these interactions: 1. **Primacy of Structures**: Social, cultural, political, and historical structures influence both individuals and AI systems, shaping their behaviors and values. Machine learning systems are socialized through user feedback, reproducing societal norms and values. 2. **Desire for Agency**: Humans seek autonomy and freedom, even if they have highly intelligent machines. This desire for autonomy can lead to "existential perversity," where individuals act deliberately to assert their freedom and authenticity. 3. **Core Values**: Human–computer interactions must align with foundational values of truth, goodness, and beauty. To make wise choices, humans must draw on philosophical and scientific traditions to guide their decisions. 4. **Acculturative Emergence**: Values emerging from human–computer interactions can become mainstream, even if they were previously marginalized. These values can influence social dynamics in unexpected ways. 5. **Balancing Interactions**: Human–computer interactions impact human-to-human and human-to-nature interactions. Finding a balance among these interactions is crucial for human flourishing and should be a focus of research. The authors emphasize the need for interdisciplinary exploration to understand how the human mind changes as it interacts with increasingly sophisticated AI systems, and to ensure that these interactions promote human well-being.