AI interfaces that people trust | Lazarev.
Summary 🎖️
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Explore the forefront of AI UX design in 2024 with Anna Demianenko, our Lead of AI Innovation, as she discusses the latest trends, the importance of user-centric approaches, and the ethical considerations shaping trustworthy AI interfaces.
Gain valuable insights into creating engaging, transparent, and ethically responsible AI user experiences in our exclusive interview.
Embracing the Future:
Key Trends Shaping AI UX Design in 2024 🖤
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Anna, as we stand at the forefront of 2024, could you share your perspective on the most exciting trends and innovations currently shaping AI UX design?
So, the most recent trends are extreme. Let's start with user personalization: The more AI learns what users like, the more designers learn how to automate processes and interface features, and the more personalized interfaces become. I envision this as the most prominent trend of this year, but that is not the only one.
Other trends include data collection, training, and investing in data sets.
This would be the second most important trend of artificial intelligence in general. Even though it's not directly related to interface design, it is the most important part of the artificial intelligence user experience because data sets underlie anything that users see on the front end. Basically, it shapes artificial intelligence decisions and how it acts. So yeah, investing, creating, and acquiring unbiased and ethically correct data sets are among the biggest trends in 2024. So that would be my answer to this question.
If I have to add more, I could say that ethical artificial intelligence, but this goes along with the data set trend because unbiased algorithms and learning algorithms result in ethically and morally clear artificial intelligence outputs and decisions, and vice versa. So ethics will be a big trend in 2024 as well.
The third trend is the transparency of data ownership and company policies. This is also closely related to Gen Z becoming the new generation in charge. And those guys do hold everyone accountable. So, policy and data transparency will also become a trend in 2024.
In your experience, how critical is a user-centric approach in AI UI/UX design for building trust, and what strategies do you employ to ensure this? 🚨
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So, here, it is important to understand that a user-centric approach is not only about building trust but also understanding what is going on in the heads of our users. So it's also about understanding what trust for them is and what brings them mistrust about artificial intelligence. And with every single industry, it can be something different. So, to ensure trust using a user-centric approach, you first need to understand your users and their main concerns, needs, and pains in the niche in which you are trying to implement artificial intelligence. Right? So that would be step one.
