- Explore Foucault’s theories on power, knowledge, and discourse. His work on how knowledge and societal norms are constructed can offer insights into how AI and LLMs shape and are shaped by power structures and cultural narratives.
- Investigate Arendt’s ideas on the nature of human action and the public sphere. Her thoughts on the "banality of evil" and the nature of totalitarianism can provide a critical lens on how AI might affect public discourse and ethical considerations.
- Study Plantinga’s work on epistemology and the philosophy of religion. His ideas on warrant and the nature of knowledge can be relevant when considering the epistemological status of AI-generated information.
- Examine Zuboff’s analysis of surveillance capitalism. Her work on how digital technologies impact personal privacy and autonomy can be crucial for understanding the broader implications of AI and LLMs on society.
- Look into Habermas’s theories on communicative action and the public sphere. His ideas on rational discourse and democracy can provide insights into the role of AI in shaping communication and public engagement.
- Explore Haraway’s work on feminist theory and the relationship between humans and technology. Her concept of the “cyborg” can be useful for thinking about how AI blurs the boundaries between human and machine.
- Investigate Skeggs’s research on class, gender, and the self. Her work on how identities are constructed and represented can offer a critical perspective on how AI technologies influence and reflect societal structures.
- Study Feenberg’s philosophy of technology and critical theory. His work on how technology can be designed and used to promote democratic values and human flourishing can provide a framework for thinking about the ethical design and use of AI.
- Examine Deleuze’s ideas on desire, subjectivity, and difference. His work can offer unique perspectives on how AI influences human identity and creativity, particularly in terms of how technology affects subjective experience.
- Look into Popper’s philosophy of science and falsifiability. His ideas on scientific inquiry and the demarcation problem can be relevant when evaluating the robustness and limitations of AI-generated knowledge.
- Explore Irigaray’s feminist philosophy and theories on gender and language. Her work on how language constructs gendered experiences can provide insights into how AI might perpetuate or challenge gender biases.
- Investigate West’s critical theory and work on race, democracy, and social justice. His perspectives on justice and social change can be instrumental in evaluating the societal impact of AI technologies.
- Look into Benhabib’s theories on ethics, human rights, and the cosmopolitan perspective. Her work can offer insights into how AI intersects with global ethical issues and human rights concerns.
- Study Buber’s philosophy of dialogue and the "I-Thou" relationship. His emphasis on authentic human relationships can be relevant when considering the human-AI interaction and the potential for meaningful dialogue with machines.
- Examine Butler’s theories on gender performativity and identity. Her ideas can provide a framework for understanding how AI might influence or reflect societal norms regarding identity and subjectivity.
These authors and thinkers offer diverse and deep perspectives that can enrich your understanding of the philosophical, ethical, and societal implications of AI and related technologies. Engaging with their works can provide valuable insights and frameworks for analyzing the impact of AI on self-knowledge and human interaction.