Today, every business sector and industry is incorporating artificial intelligence (AI) to automate processes, improve efficiency, and reduce costs, including the industry of digital transformation, which is using artificial intelligence specifically to improve the user experience.
In this article, I’ll discuss some impacts of artificial intelligence on user experiences, what UX processes artificial intelligence can make more efficient, how artificial intelligence can help UX designers, and how artificial intelligence might affect UX design jobs in the future. Read More
If it were physically possible to throw a ball at the Internet, your throw wouldn’t have to be very accurate to strike some article, blog post, or social-media blurb about artificial intelligence (AI). It seems that AI is on every leader’s mind at every technology company—taking the business world by storm—and the general public has been all too happy to follow suit. There’s a new gold rush at hand, with the spoils going to the companies, startups, and enterprising individuals who find ways to best leverage the capabilities of this new technology.
But is AI all that advantageous—or ready to become so? As a UX professional working in the industrial-automation domain, I want to share some perspectives in this column that might be surprising to you. Most importantly, we must endeavor now, more than ever, to balance human authority and empowerment with the automated and artificial solutions that we’ll create and likely champion going forward. In this article, I’ll delve into the following:
embracing narrower applications of AI
exercising patience and prudence regarding bigger AI applications
understanding what UX professionals can do to contribute to the future of AI Read More
Artificial intelligence (AI) has emerged as a powerful tool that has the potential to revolutionize various aspects of our lives. However, as we integrate AI systems into our society, it is essential that we address the potential biases they might exhibit. Bias in AI algorithms can lead to unfair, discriminatory outcomes and perpetuate societal inequalities. Therefore, we cannot overstate the importance of bias mitigation in AI.
In this article, we’ll explore why bias mitigation is crucial to the successful adoption of AI in our products and present some strategies for developing fair, ethical AI systems. Read More