Believing the Hope, Not the Hype, of AI


How for much longer will our newsfeeds be filled with headlines both extolling AI as the best factor since sliced bread or damning it as an indication of the coming training apocalypse? It’s going to be some time I’m afraid. In the meantime, I counsel you hearken to this insightful interview with Dr. Eric Wang, Vice President of AI at Turnitin, who places a lot of the hoopla into context. 

Turnitin has been working in AI since earlier than it was cool—25 years this month. The firm’s instruments are constructed into well-liked studying administration system (LMS) workflows throughout 16,000 establishments, in 140 international locations, and utilized by over 40 million college students at each the k-12 and better ed degree. In April 2023, Turnitin launched its AI writing detection instrument, which as of July 2023 has processed over 76 million paper submissions.

Eric conjures a future the place AI detection instruments in training function a method to foster studying and development somewhat than a gotcha app meant to punish or disgrace college students. The objective is to not discourage AI use however to show college students easy methods to use the instrument successfully whereas valuing genuine human work. Click under to hear and scroll down for some takeaways and different sources provided by Turnitin.

Key Takeaways:

  • Shift Towards Learning and Growth: Eric envisions AI detection instruments in training as a method to advertise studying and development somewhat than as a gotcha app. He emphasizes fostering a clear and constructive dialogue between educators and college students relating to the use of AI-generated content material.
  • Transparency and Reflection: In the excellent state of affairs, educators use AI instruments to flag AI-generated content material, prompting college students to replicate on their decisions and interact in a dialog about their writing course of. This method goals to assist college students perceive the worth of genuine human work whereas nonetheless using AI as a instrument.
  • Safety and Trust: Eric highlights the significance of security and belief in AI detection programs and describes the ongoing efforts to enhance AI programs’ reliability, together with detecting hallucinations or false data in AI-generated content material
  • Continual Evolution: Eric acknowledges that AI programs are evolving, and the nature of AI-generated content material might change. However, he expresses confidence that AI-generated content material will stay detectable, and efforts to floor and current such content material to educators will even proceed to evolve.

Want to dig deeper? Here is the white paper just released by Turnitin’s AI scientist team, led by Dr. Wang explaining the efficacy outcomes and protocols that Turnitin employed when testing their AI detection capabilities.

You can obtain this infographic as nicely by clicking on it:

Kevin Hogan
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