Designing for Humans in the Loop

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Join Justin Hevey and Taryn D'Souza as hosts of Designing for Humans in the Loop podcast, where we discuss the intersection of AI and Design with a focus on skill development that prioritises human-centric approaches in AI products.

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  1. 11月30日

    The AI Literacy Reset — with Riley Coleman

    Most AI literacy programs are solving the wrong problem — and in this episode, Riley Coleman explains why. Instead of teaching people tools, features, and prompts, Riley argues that organisations must rebuild the mental models, habits, workflows, and governance that help humans think differently about how to get work done in an AI-enhanced world. We dive deep into what it really takes to build AI-ready teams, why AI-native organisations are already moving faster, and how leaders can design for trust, safety and confidence while technology accelerates exponentially. This episode is essential listening for design leaders, product teams, and anyone navigating the human side of AI adoption. What we cover Why most AI literacy programs failThe 5 foundational layers of true AI literacyThe ROI problem: why organisations aren’t seeing valueMental models, habits and new ways of workingThe danger of agentic AI without governanceHow to build trust and psychological safetyMeaningful friction vs frictionless designThe Three-Speed Organisation model for the AI eraWhy service designers are now mission-criticalHow leaders can “slow down to go fast”Quotes worth remembering “Most AI literacy programs are solving the wrong problem.”“AI breaks every design principle we’ve relied on for decades.”“Slow down now so you can go impossibly fast later.”“Trust is the bedrock of any human–AI collaboration.”“Agentic AI terrifies me — because most organisations aren’t ready.” About Riley Coleman Riley is an AI literacy and organisational transformation expert helping teams build the confidence, capability and governance needed to adopt AI safely and effectively. Riley’s work blends human-centred design, ethics, psychology and organisational systems thinking. Resources & Links Riley Coleman - LinkedIn AI Flywheel: https://ai-flywheel.com BCG Report — “Where’s the Value in AI?” -⁠ Link Riley’s Maven Courses Human-Centred Ethical AI that Users Trust - Maven Course Riley’s Linkedin Articles 1. From Interfaces to Relationships: The Design Transformation That Determines Whether Your AI Succeeds or Fails 2. Building Adaptive Operations for the AI Era Hosts Taryn D’Souza & Justin Hevey are design leaders and co-hosts of Designing for Humans in the Loop, a podcast exploring the future of AI, design and human experience. Taryn D’Souza — LinkedInJustin Hevey — LinkedInSubscribe to Designing for Humans in the Loop on Substack

    54 分钟
  2. 2024/12/30

    Generative AI and the Future of Design with Vincent Koc

    Vincent Koch is a thought leader at the intersection of AI, data, and design. As a lecturer, futurist, and former Chief Data and AI Officer, Vincent has worked with cutting-edge generative AI technologies to reshape how organisations approach design and user experiences. In this episode, Vincent shares insights into how AI can augment human creativity, the challenges of hyper-personalisation, and the evolving role of designers in crafting user-centric experiences. He also introduces his Generative AI Compass, a framework for navigating the complexities of designing with AI. Takeaways - Designers play a key role in balancing user autonomy and curated experiences in AI-driven systems. - Hyper-personalisation is both an opportunity and a challenge in creating meaningful UX. - Generative AI tools can accelerate prototyping and expand creative possibilities. - Synthetic user testing can augment traditional research methods to explore diverse user needs. - Designers must act as curators to guide users through infinite choices. - The evolving design process requires embracing experimentation and flexibility. - Organisations need clear principles and frameworks to manage AI biases and outputs. - Collaboration between technologists, designers, and product teams is essential for AI success. - Ethical considerations must guide AI implementation to build trust and create value. Tune in to discover how AI is transforming the creative process and redefining the boundaries of design.

    54 分钟
  3. AI, Hyper-personalisation and Design

    2024/11/27

    AI, Hyper-personalisation and Design

    Welcome to Designing for Humans in the Loop, the podcast exploring the intersection of design and artificial intelligence. Hosted by Taryn D'Souza and Justin Hevey, we dive into how AI is reshaping design, transforming industries, and challenging the way we create for the future. In this episode, we explore hyper-personalisation with Barry Saunders, Partner at MXA Consulting, a technology strategy consultancy specialising in customer experience, product strategy, and analytics. Barry shares insights on AI-driven personalisation, the evolving role of designers, and the critical balance between business, technology, and human-centred design. Key Takeaways: Hyper-personalisation Defined: From segmentation to advanced product recommendations, and how AI enables tailored customer experiences. AI in Retail: Tools that accelerate content creation, improve merchandising, and enhance customer journeys through automation. Design Challenges: Why designers must adapt traditional methods, think critically, and balance business goals with human-centred solutions. Collaboration: The importance of cross-disciplinary teamwork, from product to marketing and data teams, for creating cohesive user experiences. Ethical Considerations: How designers can navigate the moral complexities of emerging AI tools while leveraging their capabilities. Join us for this thought-provoking discussion on how designers can adapt to and thrive in the rapidly changing technological landscape.

    39 分钟

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Join Justin Hevey and Taryn D'Souza as hosts of Designing for Humans in the Loop podcast, where we discuss the intersection of AI and Design with a focus on skill development that prioritises human-centric approaches in AI products.