Brief remarks at the first GW faculty conversation about AI and education: "AI is in Your Classroom Even if You Didn't Know It"Video on YouTube: https://youtu.be/IzoatfXc28Qor Vimeo (starts at 15:16): https://vimeo.com/790955091#t=916sJanuary 18, 2023 (GW calendar entry)https://go.gwu.edu/ai4ed
DescriptionJoin colleagues from across GW to learn more about how recent advancements in Artificial Intelligence (AI) technologies (such as chatGPT) are now being used in university classrooms, labs and offices. From AI that write original papers, essays and poems to those that create art or write computer code, these technologies are quickly impacting many aspects of higher education. In this initial faculty conversation, we will discuss what each of us should know about these recent advancements and how we can grapple with the multiple implications for our teaching, research and service.
The event is a collaboration of colleagues in humanities, social sciences and STEM disciplines and will focus on the promises and perils of AI in higher education as the first of an on-going series at GW.
Presenter notes[slide 1] Title[slide 2]In this definition of AI, we acknowledge that we previously thought that human intelligence was required in many tasks that we now offload to machines. We emphasize that computers are different from humans, and “artificial intelligence” is somewhat of a misnomer, because computers are not really “intelligent” or “smart,” despite the product descriptions out there.
If you see a definition of AI as “the simulation of human intelligence by computers” or that it develops “computer systems that can think, learn and act like humans,” take that with a healthy dose of skepticism. These metaphors and analogies—preferred by the popular science headlines—are unhelpful and exaggerated. The “awesome thinking machine” myth or any suggestion that machines are thinking and becoming human-like should be avoided.
Quote found in:https://www.forbes.com/sites/peterhigh/2017/10/30/carnegie-mellon-dean-of-computer-science-on-the-future-of-ai/?sh=524ad1152197
[slide 3]This text was generated by ChatGPT and is not that bad.“Perception” in AI includes computer vision, for example, with applications such as image recognition, path planning for automated vehicles, object detection, or face recognition. These systems are already deployed broadly.“Reasoning” is used in the sense of drawing inferences, and AI capabilities are mostly limited to ...
DescriptionJoin colleagues from across GW to learn more about how recent advancements in Artificial Intelligence (AI) technologies (such as chatGPT) are now being used in university classrooms, labs and offices. From AI that write original papers, essays and poems to those that create art or write computer code, these technologies are quickly impacting many aspects of higher education. In this initial faculty conversation, we will discuss what each of us should know about these recent advancements and how we can grapple with the multiple implications for our teaching, research and service.
The event is a collaboration of colleagues in humanities, social sciences and STEM disciplines and will focus on the promises and perils of AI in higher education as the first of an on-going series at GW.
Presenter notes[slide 1] Title[slide 2]In this definition of AI, we acknowledge that we previously thought that human intelligence was required in many tasks that we now offload to machines. We emphasize that computers are different from humans, and “artificial intelligence” is somewhat of a misnomer, because computers are not really “intelligent” or “smart,” despite the product descriptions out there.
If you see a definition of AI as “the simulation of human intelligence by computers” or that it develops “computer systems that can think, learn and act like humans,” take that with a healthy dose of skepticism. These metaphors and analogies—preferred by the popular science headlines—are unhelpful and exaggerated. The “awesome thinking machine” myth or any suggestion that machines are thinking and becoming human-like should be avoided.
Quote found in:https://www.forbes.com/sites/peterhigh/2017/10/30/carnegie-mellon-dean-of-computer-science-on-the-future-of-ai/?sh=524ad1152197
[slide 3]This text was generated by ChatGPT and is not that bad.“Perception” in AI includes computer vision, for example, with applications such as image recognition, path planning for automated vehicles, object detection, or face recognition. These systems are already deployed broadly.“Reasoning” is used in the sense of drawing inferences, and AI capabilities are mostly limited to ...