How AI is Transforming UX Design
AI-driven ethical design
Design & AI
AI in UX Design
Human-Centered AI
1. Embracing AI Without Losing the Human Touch
As AI becomes more embedded in design workflows, it’s essential that designers balance innovation with ethical responsibility. Ioana Teleanu reminds us that AI is a tool—not a replacement—and should serve people first.
One of the core ideas in the course is that AI should be used to support human tasks, not automate empathy or creativity. Whether it's automating mundane steps like transcription or suggesting ideas during brainstorming, AI can make design more efficient—but it must be transparent, respectful of privacy, and inclusive.
Ioana emphasizes that as designers, we’re not just shaping screens—we’re shaping experiences. With AI, this responsibility becomes bigger. We must ask:
Are we collecting data responsibly?
Is this system reinforcing bias?
Does the user understand how the AI works?
These questions push us to be more intentional and ethical in our workflows.
2. AI Design Patterns That Put People First
2. AI Design Patterns That Put People First
Designing for AI isn't guesswork. Companies like Microsoft and Google have already established human-AI interaction patterns. Ioana explores how these patterns guide intuitive and responsible design.
Key patterns covered include:
Making AI capabilities clear: Let users know what the AI can (and can't) do.
Allowing manual control: Users should be able to summon, dismiss, or override AI easily.
Transparency and feedback: Explain why AI took an action, and let users rate or correct its decisions.
These principles help build trust—something critical in AI products. Ioana uses real-world examples like Grammarly’s tone suggestions and ChatGPT’s transparency disclaimers to demonstrate how trust and clarity improve user experience.
3. Designing for a Better Future: From Human-Centered to Humanity-Centered
3. Designing for a Better Future: From Human-Centered to Humanity-Centered
Beyond users, today’s designers must consider the ripple effects of AI on society, the environment, and future generations. Ioana calls this evolution "humanity-centered design.
The course concludes with a powerful reflection: Are we designing solutions that serve only a few, or are we working toward systems that are fair, inclusive, and sustainable?
Designers should ask:
Does this product reinforce harmful norms?
Is this experience isolating users in a filter bubble?
Could our design decisions harm mental health or marginalize voices?
By embedding ethics into every iteration and working closely with engineers, researchers, and communities, we ensure our AI-enhanced solutions are not just clever—but compassionate.
Discover other insights
2025
Discover other insights
2025
How AI is Transforming UX Design
AI-driven ethical design
Design & AI
AI in UX Design
Human-Centered AI
1. Embracing AI Without Losing the Human Touch
As AI becomes more embedded in design workflows, it’s essential that designers balance innovation with ethical responsibility. Ioana Teleanu reminds us that AI is a tool—not a replacement—and should serve people first.
One of the core ideas in the course is that AI should be used to support human tasks, not automate empathy or creativity. Whether it's automating mundane steps like transcription or suggesting ideas during brainstorming, AI can make design more efficient—but it must be transparent, respectful of privacy, and inclusive.
Ioana emphasizes that as designers, we’re not just shaping screens—we’re shaping experiences. With AI, this responsibility becomes bigger. We must ask:
Are we collecting data responsibly?
Is this system reinforcing bias?
Does the user understand how the AI works?
These questions push us to be more intentional and ethical in our workflows.
2. AI Design Patterns That Put People First
Designing for AI isn't guesswork. Companies like Microsoft and Google have already established human-AI interaction patterns. Ioana explores how these patterns guide intuitive and responsible design.
Key patterns covered include:
Making AI capabilities clear: Let users know what the AI can (and can't) do.
Allowing manual control: Users should be able to summon, dismiss, or override AI easily.
Transparency and feedback: Explain why AI took an action, and let users rate or correct its decisions.
These principles help build trust—something critical in AI products. Ioana uses real-world examples like Grammarly’s tone suggestions and ChatGPT’s transparency disclaimers to demonstrate how trust and clarity improve user experience.
3. Designing for a Better Future: From Human-Centered to Humanity-Centered
Beyond users, today’s designers must consider the ripple effects of AI on society, the environment, and future generations. Ioana calls this evolution "humanity-centered design.
The course concludes with a powerful reflection: Are we designing solutions that serve only a few, or are we working toward systems that are fair, inclusive, and sustainable?
Designers should ask:
Does this product reinforce harmful norms?
Is this experience isolating users in a filter bubble?
Could our design decisions harm mental health or marginalize voices?
By embedding ethics into every iteration and working closely with engineers, researchers, and communities, we ensure our AI-enhanced solutions are not just clever—but compassionate.
Discover other insights
2025
How AI is Transforming UX Design
AI-driven ethical design
Design & AI
AI in UX Design
Human-Centered AI
1. Embracing AI Without Losing the Human Touch
As AI becomes more embedded in design workflows, it’s essential that designers balance innovation with ethical responsibility. Ioana Teleanu reminds us that AI is a tool—not a replacement—and should serve people first.
One of the core ideas in the course is that AI should be used to support human tasks, not automate empathy or creativity. Whether it's automating mundane steps like transcription or suggesting ideas during brainstorming, AI can make design more efficient—but it must be transparent, respectful of privacy, and inclusive.
Ioana emphasizes that as designers, we’re not just shaping screens—we’re shaping experiences. With AI, this responsibility becomes bigger. We must ask:
Are we collecting data responsibly?
Is this system reinforcing bias?
Does the user understand how the AI works?
These questions push us to be more intentional and ethical in our workflows.
2. AI Design Patterns That Put People First
Designing for AI isn't guesswork. Companies like Microsoft and Google have already established human-AI interaction patterns. Ioana explores how these patterns guide intuitive and responsible design.
Key patterns covered include:
Making AI capabilities clear: Let users know what the AI can (and can't) do.
Allowing manual control: Users should be able to summon, dismiss, or override AI easily.
Transparency and feedback: Explain why AI took an action, and let users rate or correct its decisions.
These principles help build trust—something critical in AI products. Ioana uses real-world examples like Grammarly’s tone suggestions and ChatGPT’s transparency disclaimers to demonstrate how trust and clarity improve user experience.
3. Designing for a Better Future: From Human-Centered to Humanity-Centered
Beyond users, today’s designers must consider the ripple effects of AI on society, the environment, and future generations. Ioana calls this evolution "humanity-centered design.
The course concludes with a powerful reflection: Are we designing solutions that serve only a few, or are we working toward systems that are fair, inclusive, and sustainable?
Designers should ask:
Does this product reinforce harmful norms?
Is this experience isolating users in a filter bubble?
Could our design decisions harm mental health or marginalize voices?
By embedding ethics into every iteration and working closely with engineers, researchers, and communities, we ensure our AI-enhanced solutions are not just clever—but compassionate.
Discover other insights
2025