UXmatters has published 34 articles on the topic Artificial Intelligence Design.
Artificial intelligence (AI) is the simulation of human intelligence in machines that we’ve programmed to perform tasks that typically require human intelligence. In recent times, AI has successfully carried automation to the next level with its wide range of capabilities. AI is bringing about the transformation of industries across diverse domains. The information technology (IT) industry is no exception. In fact, the IT industry has enthusiastically embraced the immense potential of AI to transform virtually every aspect of its operations. Professionals within the IT sector have engaged in extensive discussions regarding the potential benefits and drawbacks of AI-driven technologies.
Although market analysts have connected the rapid rise and widespread adoption of AI to recent downsizing at major IT firms, it is crucial that we harness the potential of AI to benefit the IT industry. Highlighting the positive aspects of AI-driven technologies is of the utmost importance. Read More
In February 2024, Fast Company [1] reported on the rise of conversational AI search engines. Large language models (LLM) power these tools, which can answer users’ questions by retrieving and summarizing information from the Internet.
Since the rise of generative AI, several conversational AI search applications have cropped up online. Academic and scientific research is spearheading a wave of experimentation in this field. [2] Frenzied enthusiasm exists around what seems to be a new way of searching for content that provides an alternative to the Google model of search to which we’ve all become accustomed. Read More
As we enter 2024, artificial intelligence (AI) is part of virtually every product-design conversation. Companies are racing to incorporate AI into their products, hoping to push the limits of innovation to attract and engage customers and impact the business’s bottom line. As UX designers, our charter is always to create seamless relationships between users and digital products. AI represents a whole new field of possible experiences.
Now, with AI ubiquitously underpinning so many new products, I believe the biggest challenge of 2024 will be thoughtfully placing AI at the forefront of innovation by understanding users’ perspectives, needs, concerns, and objectives. AI can and will do many amazing things. The big question is: what should it do?
In this column, I’ll share some of my reflections regarding the adoption of AI by users, focusing particularly on what we’ve learned about their expectations and attitudes. Read More