eBook overview
This page gives the clean, canonical details for this title: what it covers, who it is for, and where to get it.
Ethics
The House Always Knows: AI, Gambling, and the Ethics of Personalized Gaming
Examines ai's role in gambling, from personalized gaming to addiction risks, addressing ethical concerns and regulation. Pages: 327.
327
Ethics
Artificial Intelligence
AI Trends
Law
Who it is for
Readers who want practical, plain-English AI analysis without the usual marketing confetti cannon.
Why it matters
This title focuses on applied AI, real-world trade-offs, and what actually matters once the hype has left the room.
Quick facts
Length
327 pages
Primary lens
Ethics
Best for
Ethics readers, regulators, product teams, and anybody interested in how AI personalisation can cross the line from convenience into manipulation.
Related AI topics
This book sits comfortably alongside broader explainers and sector-specific guides.
Why it matters
Gambling is a sharp test case for AI ethics because the incentives are obvious, the data is rich, and the harm can be very real. If you want to see personalisation without the glossy wrapper, start here.
What you’ll learn
- How recommendation systems and behavioural models are used in gambling.
- Why addiction risk, informed consent, and fairness matter.
- Where regulation struggles to keep pace with personalised systems.
What this book covers
- Personalisation, segmentation, and player modelling
- Ethics, consumer protection, and responsible design
- Commercial incentives versus public interest
What makes this book distinct
It tackles a touchy subject directly instead of pretending ethical trade-offs can be solved with a cheerful dashboard.
Get this book
Examines AI's role in gambling, from personalized gaming to addiction risks, addressing ethical concerns and regulation. 327-page guide.
Deeper overview
Longer-form context from the retired overview page, now folded into the canonical book route.
Problem framing: where this topic gets messy
Ethics gets hand-waved far too often. The real challenge is turning abstract concern into concrete questions about incentives, power, harm, and accountability. Examines AI's role in gambling, from personalized gaming to addiction risks, addressing ethical concerns and regulation. Pages: 327. This title focuses on applied AI, real-world trade-offs, and what actually matters once the hype has left the room.
Practical outcomes
In practical terms, the aim is simple: you should finish with a firmer handle on the ethical trade-offs, failure modes, and uncomfortable questions that sit behind AI systems. That means clearer judgement, fewer lazy assumptions, and a much better sense of where to press further or walk away.
- Understand how recommendation systems and behavioural models are used in gambling.
- Grasp why addiction risk, informed consent, and fairness matter.
- Identify where regulation struggles to keep pace with personalised systems.
Chapter-level signals
Not a chapter list carved in stone, but the sort of material readers can reasonably expect to work through.
Personalisation, segmentation, and player modelling
Personalisation, segmentation, and player modelling.
Ethics, consumer protection, and responsible design
Ethics, consumer protection, and responsible design.
Commercial incentives versus public interest
Commercial incentives versus public interest.
What makes this title distinct
It tackles a touchy subject directly instead of pretending ethical trade-offs can be solved with a cheerful dashboard.
FAQ
What will I learn from this book?
Gambling is a sharp test case for AI ethics because the incentives are obvious, the data is rich, and the harm can be very real. If you want to see personalisation without the glossy wrapper, start here. It tackles a touchy subject directly instead of pretending ethical trade-offs can be solved with a cheerful dashboard.
Who is this book for?
Ethics readers, regulators, product teams, and anybody interested in how AI personalisation can cross the line from convenience into manipulation.
How long is it?
It’s 327 pages (varies by edition).
Where should I go next after reading it?
Use the related links on this page, then jump to the AI ethics titles or the wider ebook catalogue.
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