The Questions We Are Not Asking Enough About AI
There are plenty of hopes and hypes about AI these days, but what is often lacking in these conversations is a set of questions that are more fundamental than what... Read more.
Ford v Ferrari to ChatGPT v Bard
The primary drivers of AI advancements right now are not addressing user needs or information access problems; they are, rather, driven by competition.... Read more.
The Rise of AI Chat Agents and the Discourse with Dilettantes
ChatGPT is a simple-to-use conversation agent developed by OpenAI. Of course, this is not the first time we have seen an AI agent that generates information. Google's... Read more.
Pulling the Curtain from AI Illusions
Many AI systems, especially those generating texts and images are starting to give an impression that they understand and even feel things. This illusion create... Read more.
Information Access’s Changing Models from the Library of Alexandria to Google
Preserving and presenting information has gone through several models in our history. For the most part, information access has been considered a public good. It... Read more.
Reflecting on One Year of Information Matters
Information Matters started developing a year ago. I took that opportunity to reflect on last 75 years of development of ideas in the areas of information science... Read more.
Sentient AI — Is that What We Really Want?
There is much too hype around AI systems that are acting like they know or feel. But we are not asking enough if we should even want such systems. Blindly trusting... Read more.
Rediscovering the “Third Place”
Do you have a favorite "third place" to hang out? A place that's other than your home and work? With the ongoing pandemic, we have lost that place, but that virtual... Read more.
Finding Fairness with a Fickle Framing
We all want fairness in our lives. We want to everyone to pay their fair share, get a fair shot at opportunities, and provide fair explanations to life-changing... Read more.
In AI We Trust, But Should We?
We are giving up more and more agency and control to AI systems as we build more trust in them. But there are dangers to doing so—both for the users and the systems.... Read more.
