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2. Addressing trade-offs in co-designing principles for ethical AI: perspectives from an industry-academia collaboration
3. From applied ethics and ethical principles to virtue and narrative in AI practices
4. Artificial intelligence (AI) cybersecurity dimensions: a comprehensive framework for understanding adversarial and offensive AI
5. Mind-reading in AI and neurotechnology: evaluating claims, hype, and ethical implications for neurorights
6. The conductor model of consciousness, our neuromorphic twins, and the human-AI deal
7. Overcoming AI ethics, towards AI realism
8. Anthropomorphism and AI hype
9. Regulating autonomous and AI-enabled weapon systems: the dangers of hype
10. Three different types of AI hype in healthcare
11. Anthropomorphism in AI: hype and fallacy
12. Establishing counterpoints in the sonic framing of AI narratives
13. The consequences of AI hype
14. The rapid competitive economy of machine learning development: a discussion on the social risks and benefits
15. Bringing clarity and transparency to the consultative process underpinning the implementation of an ethics framework for AI-based healthcare applications: a qualitative study
16. Using ChatGPT-3 as a writing tool: an educational assistant or a moral hazard? Current ChatGPT-3 media representations compared to Plato’s critical stance on writing in Phaedrus
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