New York City Bans Students, Teachers From Using ChatGPT, The Artificial Intelligence That Threatens Jobs For IT Developers And Worries The Education Community

What we know about this artificial intelligence from the OpenAI company is that it is a chatbot capable of understanding natural language and responding to natural language. Some even call it a Google replacement. Additionally, Microsoft and OpenAI will launch a version of the Bing search engine that integrates it. ChatGPT will be brilliant to scare teachers in the IT sector who fear the rise of cheating in higher education. New York City now cites similar reasons for its eviction: banning students and teachers from using it. The decision was not without controversy.

Due to concerns about negative impacts on student learning, as well as the security and accuracy of content, access to ChatGPT is prohibited on New York City public school networks and devices, said the a spokesman for the city’s Department of Education.

The controversy over this decision stems at least from the clear observation that ChatGPT can act as a supplement to a search engine. Deciding to ban access is therefore equivalent to doing the same to the platforms where students are most likely to find answers to their assessments: Wikipedia, Google, etc.

The contradiction in relation to the decision of the city of New York is likely to grow even more if we consider that such tools can encourage stakeholders from all sides of the computer community to sharpen their creativity. In fact, to combat AI-assisted plagiarism caused by OpenAI’s ChatGPT, a student proposed a text analysis application that detects whether it was written by an artificial intelligence.

Software engineering startup founder Amjad Masad reported that he asked ChatGPT to detect errors in his code and produce a detailed report of what went wrong and how to fix it. The latter came to the conclusion that ChatGPT can act as a good debugging companion that not only explains the bug, but fixes it and explains the fix. Here, ChatGPT is likely to contribute to improving the productivity of stakeholders in the sector on all sides (students, teachers, engineers, etc.)

The biggest debate revolves around the possibility of seeing artificial intelligences created at the stage where they are endowed with common sense, with the ability to think causally, that is, the ability to reason why things happen.

Google for example has secretly launched the development of Pitchfork, or AI Developer Assistance. It’s a tool that uses machine learning to teach code to write and rewrite itself. how? By learning the corresponding styles of programming languages, and applying this knowledge to writing new lines of code.

The original intention behind this project was to create a platform capable of automatically updating the Python code base whenever a new version is released, without requiring intervention or hiring a large number of engineers. However, the potential of the program turned out to be greater than expected.

From now on, the intention is to bring to life a general purpose system that can maintain quality standards in the code, but does not rely on human intervention in development and update tasks. Such a goal can no longer be science fiction when we know that artificial intelligence research groups are already promising to reach the stage of general artificial intelligence within 5 to 10 years.

Source: New York Department of Education

And you?

What is your comment on this decision by the New York Department of Education? Is this an example to follow?
What do you think are the advantages and disadvantages of tools like ChatGPT in their current stage of development for different stakeholders in the IT sector (students, teachers, engineers, etc.)

See also:

AI researchers say OpenAI’s GPT-4 language model could pass the bar exam, sparking debate about replacing lawyers and judges with AI systems

Microsoft is investing $1 billion in OpenAI, the company founded by Elon Musk, which is trying to develop AI that resembles human intelligence.

Google trained a language model that could answer medical questions with 92.6% accuracy, doctors themselves scored 92.9%

Microsoft Creates Code Autocompleter Using GPT-3, OpenAI’s Text Generation System, To Fill Developer Shortage Worldwide

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