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Think With AI Vol Two: Judgement, Trust and the Human Future
Casey Hopkins
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AI can sound certain and still be wrong. As these systems become more capable, the most important skill is not only using them. It is judging them.
When producing an answer becomes easy, judging the answer matters more. When information arrives instantly, evidence matters more. When software can act, permission and responsibility matter more.
Volume Two: Judgement, Trust and the Human Future (Chapters 18–24) continues Think With AI with the harder questions every user now faces:
Don't be fooled by AI: why AI can be confidently wrong, how bias enters AI systems and human judgement, privacy, security and copyright, and truth in the age of deepfakes
AI and the next generation: what parents and carers need to know about children and AI
What comes next: AI beyond the chatbot, systems that act on our behalf, and the boundaries of human judgement
The volume ends with a Final Project, an AI Toolkit that gathers the reusable frameworks from both volumes into a short reference section, and the Evidence & References.
Written for non-technical readers, it does not aim to make you suspicious of artificial intelligence. It aims to make you harder to mislead and better able to benefit from it, so you reach the end with fewer fears, fewer illusions and better questions.
Start with Volume One: Understanding and Working With AI if you are new to AI.

Casey Hopkins
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