Part 1 - How we got here Chapter 1: Definitions and origins - Define AI and UX to set the sandbox. - What do we mean by AI? - What do we mean by UX? - How both UX and AI began out of the dawn of the computer age - What is their common DNA Chapter 2: Learning from the past - Early applications, successes and failures of AI * Multiple AI winters * Hope, hype, success, failure, and rebirth - Why UX 'wasn't a thing' for decades, then became mainstream * Computing becomes personal * Web democratizes access to information - Suddenly, convergence Part 2 - Where are we now Chapter 3: AI enabled products are emerging all around us - Reaching the inflection point - Ubiquitous computing, and embedded AI * Overview of the verticals of AI investment * Describe solutions underway for product development * Elaborate on the opportunity that ambient and ubiquitous computing promises - How AI has failed because of bad UX * Examples Chapter 4: Where can AI go terribly wrong - Singularity, self-awareness and dystopianism isn't the real problem, for now - More pressing is how failures impact adoption and technological advances. - Our ethics and trust have not matured to the pace of AI. * Acknowledgement of doomsday scenarios * Implications of ethics and consumer trust * Bandwagon of minimum viable product (MVP) as a recipe for AI failure Part 3 - Where are we going? Chapter 5: A UX framework for success - How to make AI more usable and useful - It's the process: UX, evidence-based design and the application of design principles to AI - Design thinking models with an emphasis on UX research - Key user centered design elements, such as design problem definition, context of use, environment of use, task flow analysis and iterative testing - UX framework for AI with illustrative examples - Framing AI around context, interaction and trust Chapter 6: Implications for the future - Supporting new product development: Applying the UX framework. * Core foundations based on context, interaction and trust will permeate new services that improve upon Internet of Things (IoT), voice, automation - Allocation of function between humans and AI - Workforce implications.