Artificial Intelligence

Link to interview - While not necessarily surprising, I thought the commentary about "computer-generated" nitrogen fertilizer problem piqued my interest the most (along with the importance of language when talking about these problems). The analogy of misuse of algorithms to improper design with

Ben Shneiderman's AI Interview on PredictionX provided a comprehensive overview of his insights on the intersection of AI and human-centered design. His emphasis on designing systems that empower humans and prioritize their needs was particularly striking. Additionally, his advocacy for incorporatin

Which chatbot is more impressive at this moment?? A great video from MKBHD, giving a slight edge to Bing (running ChatGPT 4 under the hood)

In his interview, Ben Schneiderman emphasizes the importance of viewing machines as tools for humans, rather than partners. He contends that machines are meant to empower humans, not replace them. Moreover, he mentions that if you don’t understand what a complicated machine is doing, you should make

In Ben Shneiderman's interview, two things really peaked my interest: the semantics of the discussion, and the accountability and responsibility question. I will focus on the former, but I want to state that I also thought the idea of AI accountability was incredibly interesting and relevant, as it

If I had conducted the interview with Professor Ben Shneiderman I would have liked to talk more about the strengths and weaknesses of artificial intelligence and machine learning. In particular, I would have liked to hear more about the chess and music examples. Recently, people have been using arti

If I had conducted the interview with Prof. Shneiderman, I would have spent much more time discussing the technical details of what is involved in modern AI systems. Throughout the interview, he discussed AI in the very abstract sense, generalizing dozens of different approaches together. For the po

We thought we'd start this thread so attendees at the "AI & The Future of Health" event at the Harvard Radcliffe Insitute can continue discussion online. Feel free to post your thoughts and questions here, and the PredictionX team will facilitate followup. (Event video link will go here once eve

The most surprising aspect of this interview with Professor Goodman is the divide that Shneiderman draws between partner and tool regarding to AI. In response to questions about AI taking over the world, we see that Shneiderman in a sense throws out the concerns by saying that right now AI is more o

One of the most surprising and interesting things for me from this interview with Ben Shneiderman was his concerns about language. He flagged the use of the word “partnership” when referring to AI software as an important issue to him. He explained that machines should never be seen or described as

The most surprising piece of information I learned from Professor Goodman's interview with Ben Schneiderman was in relation to the ethics of Artificial intelligence. Professor Schneiderman countered this question from one of the undergraduates who was part of the panel, by stating that the ethical b

If offered the opportunity, I would have loved to ask Schneiderman how our (yours, actually) education system would have to adapt to accommodate living in a world with AI. Many schools already have computer labs, teach some form of data visualization, basic statistics and how to not be fooled by pro

I am somewhat confused about his Ben Schneiderman’s distinction between a tool and something that is mimicking the form of a human or animal. He says that tools don’t mimic a human or animal but instead enhance them but this just doesn’t fit so perfectly as I am thinking about it. He says a plane is

The most surprising thing to me in the Ben Shneiderman interview is his insistence that Artificial Intelligence is just a tool to enhance already existing capabilities. This idea that AI and Machine Learning could just be a tool for human beings, like a hammer or an automobile, is very interesting t

In the interview with Ben Schneiderman, I was particularly surprised by his confident, repeated assertions that computers are just tools, and that they are no more intelligent than wooden pencils. Perhaps due to both movies or to my own research with the advancements made in machine learning, it see

Surprising Information: I was very surprised by the focus on the language that we use to describe technology. For example, Ben Shneiderman discussed machines not being partners, and rather that they’re tools, and how the language that we use to describe machines can be concerning. I had not expected

I watched the interview with Ben Schneiderman, an expert on AI. I was most surprised by Shneiderman's emphatic claims that machines are not partners or assistants, but tools or enhancements. This is surprising because, as mentioned, a lot of AI technologies today are marketed to us as assistants; th

In the Interview with Ben Schneiderman, I learned a lot about AI, not only the components of AI and machine learning but the current limits of this technology that more or less dictate its viability in certain predictive situations. I am not an expert in this technology field, so it was very interes

I think one of the key things I took from the Ben Shneiderman video is that not everything is A.I. Although this seems obvious, as Shneiderman points out, there’s often a linguistic issue when it comes to “A.I.” and what the general public thinks A.I. is. To use other things we’ve touched on in cla

During the interview on Artificial Intelligence with Ben Shneiderman, he begins by asking the undergraduates a few questions about the different methods possible used to make predictions. Specifically the difference between machine learning and statistical method. While he continues to ask the und

I was shocked by the very one-sided view Prof. Shneiderman presents towards his view that AI is only a "tool" for humans, like a bulldozer or airplane. It's true he makes some good points, and the position he seems to hold is a reasonable one, but presenting it as the only reasonable view seems like

In the interview with Ben Shneiderman, a student asks how we’d be able to distinguish a human from a highly capable machine if said machines would one day be able to near perfectly mimic human behavior. In response, Shneiderman brings up how predictive machines are simply tools to enhance how human