April 2, 2024
6 min

Clara Kliman-Silver: AI & design: imagining the future of UX

Header graphic for the article 'Clara Kliman-Silver: AI & design: imagining the future of UX'

In the last few years, the influence of AI has steadily been expanding into various aspects of design. In early 2023, that expansion exploded. AI tools and features are now everywhere, and there are two ways designers commonly react to it:

  • With enthusiasm for how they can use it to make their jobs easier
  • With skepticism over how reliable it is, or even fear that it could replace their jobs

Google UX researcher Clara Kliman-Silver is at the forefront of researching and understanding the potential impact of AI on design into the future. This is a hot topic that’s on the radar of many designers as they grapple with what the new normal is, and how it will change things in the coming years.

Clara’s background 

Clara Kliman-Silver spends her time studying design teams and systems, UX tools and designer-developer collaboration. She’s a specialist in participatory design and uses generative methods to investigate workflows, understand designer-developer experiences, and imagine ways to create UIs. In this work, Clara looks at how technology can be leveraged to help people make things, and do it more efficiently than they currently are.

In today’s context, that puts generative AI and machine learning right in her line of sight. The way this technology has boomed in recent times has many people scrambling to catch up - to identify the biggest opportunities and to understand the risks that come with it. Clara is a leader in assessing the implications of AI. She analyzes both the technology itself and the way people feel about it to forecast what it will mean into the future.

Contact Details:

You can find Clara in LinkedIn or on Twitter @cklimansilver

What role should artificial intelligence play in UX design process? 🤔

Clara’s expertise in understanding the role of AI in design comes from significant research and analysis of how the technology is being used currently and how industry experts feel about it. AI is everywhere in today’s world, from home devices to tech platforms and specific tools for various industries. In many cases, AI automation is used for productivity, where it can speed up processes with subtle, easy to use applications.

As mentioned above, the transformational capabilities of AI are met with equal parts of enthusiasm and skepticism. The way people use AI, and how they feel about it is important, because users need to be comfortable implementing the technology in order for it to make a difference. The question of what value AI brings to the design process is ongoing. On one hand, AI can help increase efficiency for systems and processes. On the other hand, it can exacerbate problems if the user's intentions are misunderstood.

Access for all 🦾

There’s no doubt that AI tools enable novices to perform tasks that, in years gone by, required a high level of expertise. For example, film editing was previously a manual task, where people would literally cut rolls of film and splice them together on a reel. It was something only a trained editor could do. Now, anyone with a smartphone has access to iMovie or a similar app, and they can edit film in seconds.

For film experts, digital technology allows them to speed up tedious tasks and focus on more sophisticated aspects of their work. Clara hypothesizes that AI is particularly valuable when it automates mundane tasks. AI enables more individuals to leverage digital technologies without requiring specialist training. Thus, AI has shifted the landscape of what it means to be an “expert” in a field. Expertise is about more than being able to simply do something - it includes having the knowledge and experience to do it for an informed reason. 

Research and testing 🔬

Clara performs a lot of concept testing, which involves recognizing the perceived value of an approach or method. Concept testing helps in scenarios where a solution may not address a problem or where the real problem is difficult to identify. In a recent survey, Clara describes two predominant benefits designers experienced from AI:

  1. Efficiency. Not only does AI expedite the problem solving process, it can also help efficiently identify problems. 
  2. Innovation. Generative AI can innovate on its own, developing ideas that designers themselves may not have thought of.

The design partnership 🤝🏽

Overall, Clara says UX designers tend to see AI as a creative partner. However, most users don’t yet trust AI enough to give it complete agency over the work it’s used for. The level of trust designers have exists on a continuum, where it depends on the nature of the work and the context of what they’re aiming to accomplish. Other factors such as where the tech comes from, who curated it and who’s training the model also influences trust. For now, AI is largely seen as a valued tool, and there is cautious optimism and tentative acceptance for its application. 

Why it matters 💡

AI presents as potentially one of the biggest game-changers to how people work in our generation. Although AI has widespread applications across sectors and systems, there are still many questions about it. In the design world, systems like DALL-E allow people to create AI-generated imagery, and auto layout in various tools allows designers to iterate more quickly and efficiently.

Like many other industries, designers are wondering where AI might go in the future and what it might look like. The answer to these questions has very real implications for the future of design jobs and whether they will exist. In practice, Clara describes the current mood towards AI as existing on a continuum between adherence and innovation:

  • Adherence is about how AI helps designers follow best practice
  • Innovation is at the other end of the spectrum, and involves using AI to figure out what’s possible

The current environment is extremely subjective, and there’s no agreed best practice. This makes it difficult to recommend a certain approach to adopting AI and creating permanent systems around it. Both the technology and the sentiment around it will evolve through time, and it’s something designers, like all people, will need to maintain good awareness of.

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Sachi Taulelei: Odd one out - embracing diversity in design and technology

It’s no secret - New Zealand has a diversity problem in design and technology. 

Throughout her career, Sachi often felt like the odd one out - the only woman, the only Pasifika person, the one who laughed too loud, the one who looked different and sounded different. But as a leader, Sachi has been able to create change.

Sachi Taulelei, Head of Design, ANZ, recently spoke at UX New Zealand, the leading UX and IA conference in New Zealand hosted by Optimal Workshop, on how she is building a diverse team of designers at New Zealand’s largest bank.

In her talk, Sachi shares the challenges she’s faced as a Pasifika woman in design and technology; and how this has shaped her approach to leadership and her drive to create inclusive environments where individuals and teams thrive.

Background on Sachi Taulelei

Sachi is a creative strategist, a design leader, and a recovering people pleaser. She has worked in digital and design for over 25 years, spending most of her career creating and designing digital experiences centered on people.

As a proud Pasifika woman, she has a particular interest in diversity, equity, and inclusion. She has spoken out about the need for more diversity within design and technology and the impact it can have on the technology we create.

Sachi is passionate about giving back - when she's not running after her two kids, you'll find her mentoring Pasifika youth, cheering on young leaders through the Young Enterprise Scheme, judging awards for Women in AI, or volunteering at the local hospice.

Contact Details:

Email: sachi.taulelei@anz.com

LinkedIn: https://www.linkedin.com/in/sachi-taulelei/

Odd one out: embracing diversity in design and technology ✨

Looking and sounding different from her peers, Sachi always felt like she was trying to find her place in the office. She always felt like she didn’t belong. 

Sachi has experienced all forms of racism and discrimination as a result of her heritage. These experiences aren’t spoken about and often go unnoticed by the majority. She has held equivalent jobs to male counterparts but received lower pay, and was advised to change her name from Sachi to Sacha on her job applications to improve her chances.  

Sachi’s response was to work hard and become great at what she does, which was recognized over time. Slowly, she began to rise through the ranks. However, having reached leadership roles, she struggled to be heard and participate, without knowing why. The advice was given freely by managers to “stick at it”, to “grow thicker skin”, and to grow through the “school of hard knocks”. Although this advice worked at face value and she flourished, Sachi began to feel like a fraud and constantly second-guessing herself. She began to “edit” herself to fit into an acceptable mold and, in doing so, felt like she lost part of who she was.

What is success? 🏆🎯💎

Success often comes in the form of our leaders who have already climbed the mountains of achievement. When you see success in this way, as someone who doesn’t fit the mold, there is pressure to conform to get ahead. Using the same tools and advice given to these leaders, she realized, would actually hold her back. 

Realizing true value through our uniqueness 🪐🦋

Sachi recounts the treatment of Japanese-American citizens in the U.S. in the years following Pearl Harbour, where Japanese-American citizens were moved to concentration camps. This happened despite an official report finding conclusively that there was no threat from this population. Even though Germany and Italy were also at war with the U.S., for example, citizens with Italian and German heritage were not treated this way. This caused immeasurable pain, shame, and fear for the victims, and fostered a head-down, work-hard mentality in order to try and forget the treatment they received. This attitude, Sachi believes, was passed down to her from her ancestors who experienced that reality. Sachi explains that while there are many things that can hold someone back in life, creating meaningful change starts with introspection. Often, that requires us to work through fear and shame.

Reflecting on her heritage, which is part Samoan and part Japanese, Sachi started to embrace her unique traits. In her case, she embraced the deep empathy and human compassion from her Japanese side and the deep sense of community and connection from her Samoan side. Her uniqueness is something to celebrate, not to hide behind. 

Becoming a leader and realizing this, Sachi wanted to create a team culture based on equity, openness, and a sense of belonging – all things that Sachi wished for herself on her journey.

Why it matters 💫

Once she understood herself and what she wanted for her team, Sachi set to work on building a new team culture. Sachi breaks down key learnings from how she turned this vision into reality.

Define

Define what diversity means for your team. You need to clearly understand what it is you want to achieve before you can achieve it. For Sachi’s team, they knew that they wanted to create a team that was representative of New Zealand. Sachi knew, for example, that she had a lack of Māori and Pacific representation within the team. Māori and Pasifika represent 25% of the population. So, an effort was made to increase ranks by hiring talent from these cultures. 

Additionally, Sachi focused on creating new role levels - from intern right through to graduates, juniors, and intermediate-level positions. This helped to acknowledge age differences within her team and also helped to manage career progression opportunities.

Effort 

It can be difficult to achieve diversity and inclusion and it requires a lot of work. For example, Sachi learned that posting an ad on job boards and expecting to receive hundreds of Māori and Pasifika applicants wasn’t realistic. Instead, partnerships were built with local design schools, and networking events were consistently attended. Job referrals from within the team were also leveraged, as well as establishing a strong direction for recruitment specialists within the organization.

Sachi also recognized that, as a leader, she needed to be more visible and more vocal about sharing her views of the world and what she was trying to achieve. It was important to be clear about the type of culture she was building within her team so that she could promote it.

In less than a year her team grew (from 11 to 40!) which meant a focus on building an inclusive team culture was required. The central theme throughout this time was, “You have to connect to yourself and your strengths first and foremost, before you can connect with others and as a team”. This meant that the team used tools like the Clifton Strength Finder, in order to learn about themselves and each other. Each designer was then encouraged to delve into their own natural working styles and were taught how to amplify their own strengths through various workshops. This approach also becomes handy when recruiting and strengthening potential weak spots.

Integrity

It’s important to have leaders who care - you can’t do it on your own. There can be pain points on the journey to creating diversity and inclusion, so it’s necessary to have leaders who listen, support, and work through some of the challenges that can arise.

Benefits of diversity and inclusion in design teams 👩🏼🤝👨🏿

Why push for diversity and inclusion? Sachi argues that the benefits are evident in the way that her team designs. 

For example, her team:

  • Insist that research is done with diverse customer groups
  • Advocates for accessibility when no one else will
  • Understand problems from different perspectives before diving into a project

Most importantly, the benefits show up in the way that each other is treated, and the relationships that are built with key stakeholders. Diversity and inclusion are wins for everyone - the team, the organization, and the customer.

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Qualitative insights: Reimagined and supercharged 🚀

We're thrilled to announce the re-launch of our Qualitative Insights tool, formerly known as Reframer. This powerful upgrade brings new features designed to revolutionize your qualitative data analysis process, making it faster, easier, and more insightful than ever before.

Introducing the new Qualitative Insights 🔍

Qualitative Insights has always been your go-to tool to help you plan and organize interviews, take notes, tag, and analyze rich, unstructured data. Now, we've taken it to the next level with two game-changing additions:

  • Insights feature: A dedicated space to capture, organize, and communicate your key takeaways.
  • AI capabilities: Optional AI-powered assistance to accelerate your analysis process.

Discover insights effortlessly 💡 

The new Insights feature transforms how you work with qualitative data:

  • Centralized hub: All your analytical discoveries in one place.
  • Structured insights: Each insight includes a title, detailed description, and associated observations.
  • Flexible viewing: Toggle between overview and deep-dive modes.
  • Efficient organization: Tag and categorize insights for easy retrieval.
  • Collaboration tools: Share and discuss findings with your team.

How it works 🛠️ 

Manual insight creation

  1. Filter your data using keywords, tags, affinity map groupings, tasks, segments, and sessions.
  2. Select relevant observations.
  3. Craft your insight with a custom title and description.

AI-Powered Insight Generation (Optional)

  1. Click "Generate" to activate our AI assistant.
  2. AI analyzes existing observations to produce new insights.
  3. Automatically generates insight titles, summaries, and attaches relevant observations.
  4. AI-generated insights are marked with an AI star symbol for easy identification.
  5. All AI insights remain fully editable.

AI: Your analysis assistant 🤖

Our AI capabilities are designed to enhance your abilities, not replace them. Use AI to:

  • Speed up insight discovery
  • Reveal hidden patterns in your data
  • Jumpstart the analysis process

Remember, your expertise is crucial. Always review and refine AI-generated insights to ensure accuracy and capture nuances that only human understanding can provide.

Your data, your choice 🔒 

We prioritize your privacy and data control:

  • Your data stays within your organization
  • We don't use it to train other AI models
  • You control when to use AI for insights
  • AI features can be turned on or off anytime

Get started today 🌟 

Ready to experience the power of the new Qualitative Insights? Learn more and dive in. Upgrade your qualitative analysis workflow and uncover deeper insights faster than ever before with Qualitative Insights!

Header graphic for the article 'Clara Kliman-Silver: AI & design: imagining the future of UX'
Learn more
1 min read

Clara Kliman-Silver: AI & design: imagining the future of UX

In the last few years, the influence of AI has steadily been expanding into various aspects of design. In early 2023, that expansion exploded. AI tools and features are now everywhere, and there are two ways designers commonly react to it:

  • With enthusiasm for how they can use it to make their jobs easier
  • With skepticism over how reliable it is, or even fear that it could replace their jobs

Google UX researcher Clara Kliman-Silver is at the forefront of researching and understanding the potential impact of AI on design into the future. This is a hot topic that’s on the radar of many designers as they grapple with what the new normal is, and how it will change things in the coming years.

Clara’s background 

Clara Kliman-Silver spends her time studying design teams and systems, UX tools and designer-developer collaboration. She’s a specialist in participatory design and uses generative methods to investigate workflows, understand designer-developer experiences, and imagine ways to create UIs. In this work, Clara looks at how technology can be leveraged to help people make things, and do it more efficiently than they currently are.

In today’s context, that puts generative AI and machine learning right in her line of sight. The way this technology has boomed in recent times has many people scrambling to catch up - to identify the biggest opportunities and to understand the risks that come with it. Clara is a leader in assessing the implications of AI. She analyzes both the technology itself and the way people feel about it to forecast what it will mean into the future.

Contact Details:

You can find Clara in LinkedIn or on Twitter @cklimansilver

What role should artificial intelligence play in UX design process? 🤔

Clara’s expertise in understanding the role of AI in design comes from significant research and analysis of how the technology is being used currently and how industry experts feel about it. AI is everywhere in today’s world, from home devices to tech platforms and specific tools for various industries. In many cases, AI automation is used for productivity, where it can speed up processes with subtle, easy to use applications.

As mentioned above, the transformational capabilities of AI are met with equal parts of enthusiasm and skepticism. The way people use AI, and how they feel about it is important, because users need to be comfortable implementing the technology in order for it to make a difference. The question of what value AI brings to the design process is ongoing. On one hand, AI can help increase efficiency for systems and processes. On the other hand, it can exacerbate problems if the user's intentions are misunderstood.

Access for all 🦾

There’s no doubt that AI tools enable novices to perform tasks that, in years gone by, required a high level of expertise. For example, film editing was previously a manual task, where people would literally cut rolls of film and splice them together on a reel. It was something only a trained editor could do. Now, anyone with a smartphone has access to iMovie or a similar app, and they can edit film in seconds.

For film experts, digital technology allows them to speed up tedious tasks and focus on more sophisticated aspects of their work. Clara hypothesizes that AI is particularly valuable when it automates mundane tasks. AI enables more individuals to leverage digital technologies without requiring specialist training. Thus, AI has shifted the landscape of what it means to be an “expert” in a field. Expertise is about more than being able to simply do something - it includes having the knowledge and experience to do it for an informed reason. 

Research and testing 🔬

Clara performs a lot of concept testing, which involves recognizing the perceived value of an approach or method. Concept testing helps in scenarios where a solution may not address a problem or where the real problem is difficult to identify. In a recent survey, Clara describes two predominant benefits designers experienced from AI:

  1. Efficiency. Not only does AI expedite the problem solving process, it can also help efficiently identify problems. 
  2. Innovation. Generative AI can innovate on its own, developing ideas that designers themselves may not have thought of.

The design partnership 🤝🏽

Overall, Clara says UX designers tend to see AI as a creative partner. However, most users don’t yet trust AI enough to give it complete agency over the work it’s used for. The level of trust designers have exists on a continuum, where it depends on the nature of the work and the context of what they’re aiming to accomplish. Other factors such as where the tech comes from, who curated it and who’s training the model also influences trust. For now, AI is largely seen as a valued tool, and there is cautious optimism and tentative acceptance for its application. 

Why it matters 💡

AI presents as potentially one of the biggest game-changers to how people work in our generation. Although AI has widespread applications across sectors and systems, there are still many questions about it. In the design world, systems like DALL-E allow people to create AI-generated imagery, and auto layout in various tools allows designers to iterate more quickly and efficiently.

Like many other industries, designers are wondering where AI might go in the future and what it might look like. The answer to these questions has very real implications for the future of design jobs and whether they will exist. In practice, Clara describes the current mood towards AI as existing on a continuum between adherence and innovation:

  • Adherence is about how AI helps designers follow best practice
  • Innovation is at the other end of the spectrum, and involves using AI to figure out what’s possible

The current environment is extremely subjective, and there’s no agreed best practice. This makes it difficult to recommend a certain approach to adopting AI and creating permanent systems around it. Both the technology and the sentiment around it will evolve through time, and it’s something designers, like all people, will need to maintain good awareness of.

Seeing is believing

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