UX for AI
Introduces principles and frameworks for creating human-centered experiences in probabilistic systems. It covers interaction, trust, control, ethics, uncertainty, evaluation and case studies.
The doctor-patient relationship and AI
Investigates how patients already use AI in healthcare and how this changes consultations, trust and clinical decisions. It guides physicians and institutions through risks, dialogue, education and responsible integration.
Data, LLMs and experience
Shows why selecting, contextualizing and explaining data is also a design decision. UX spans frictionless capture and ethical use, sustaining trust in AI products.
What is your intention?
Explores how AI products can understand explicit or ambiguous goals and follow changes throughout a conversation. Design connects human language, context and an appropriate response.
Making everything clear
Presents explainability as a foundation of trust in intelligent systems. It shows how to reveal sources, criteria, limitations and review paths without disrupting the experience.
Graceful failure
Shows how to preserve trust when AI makes a mistake, hesitates or cannot complete a task. Design should communicate uncertainty honestly, offer alternatives and keep users in control.
The designer's responsibility when looking at AI's future
Connects the idea of episteme to the transformations caused by artificial intelligence. It calls on designers to imagine scenarios, anticipate behavior and guide technology toward more human futures.
Mapping action flows for UX and digital-transformation projects
Introduces the action flow, a collaborative map combining macro and detailed views of processes and systems. It exposes users, rules, conditions and opportunities before digital transformation.
What Dark teaches us about life cycles
Uses Dark's time travel to observe characters at different stages of life. The series becomes an exercise in identity, decisions, relationships and the experiences that shape each person.
How beliefs construct what you believe
Explains how facts, perception, experience and repetition turn conclusions into beliefs. It proposes reflection, analysis and questioning to avoid harmful convictions and preserve autonomy.
Neuroplasticity and trends
Relates the adoption of trends to the gradual process of neuroplasticity. Context intensity, prior knowledge and socioplasticity help explain the pace of each transformation.
Ideology and neuroscience
Examines why ideologies help organize the world but can also trap thought. Pattern-seeking, energy conservation and gradual acceptance explain how beliefs grow stronger.
Mental reloads
Compares Tarantino's cuts with Gravity's continuous shot to explain how the mind recognizes environments. The fewer the spatial resets, the stronger the sense of immersion can become.
Cultural UN
Defines Cultural UNs as places where different urban tribes meet and energize the creative economy. These territories reveal emerging languages, behaviors and trends.
The future's ballast
Inverts the idea of ballast to consider the value of those who anticipate change and bring the future into everyday life. Mapping the present and observing emerging signals guide more relevant choices.
Depth in the demand for answers
Explains how immediate responses activate ready-made patterns and reduce reflection, empathy and analysis. Deeper thinking before acting improves personal, social and brand decisions.
How an opinion maker forms an opinion
Shows how trust and energy conservation lead the brain to absorb other people's opinions. It warns influencers and audiences about the power and responsibility of this process.
A suggested field of study for UX: neuroscience
Recommends neuroscience as a basis for understanding the human being behind the U in UX. Drawing on Ray Kurzweil, it connects pattern recognition, cognition and intelligent interfaces.