aitoff / Pixabay


Bill Gates and Sal Khan have shared extraordinarily rosy predictions about how AI is going to revolutionize education.

However, ChatGPT doesn’t seem to agree with them and, instead, seems to share my perspective (see AI CAN BE HELPFUL TO TEACHERS BUT, DESPITE WHAT SAL KHAN SAYS, IT WILL NOT BE “THE BIGGEST POSITIVE TRANSFORMATION THAT EDUCATION HAS EVER SEEN”).

I first asked ChatGPT share its response to this request:

Please share the best, worst, and middle of the road scenarios for how AI will affect education.

Here is what it wrote:

Sure, here are some possible scenarios for how AI could affect education:

Best Scenario:
In the best case scenario, AI will revolutionize education, making it more personalized, efficient, and effective. AI-powered learning tools will be able to analyze individual student data and adapt to their learning needs, providing tailored instruction and feedback in real-time. This could lead to a more engaging and dynamic learning experience, where students are motivated to learn and can progress at their own pace.

AI could also help teachers by automating administrative tasks such as grading, lesson planning, and data analysis, freeing up more time for them to focus on teaching and mentoring. This could improve teacher job satisfaction and retention, leading to a more sustainable and fulfilling teaching profession.

Furthermore, AI could help bridge the education gap by providing access to quality education to students in remote or underserved areas, as well as those with disabilities or special needs. This could lead to a more equitable and inclusive education system, where every student has the opportunity to succeed.

Worst Scenario:
In the worst case scenario, AI could exacerbate the existing inequalities in education and lead to a dehumanizing and impersonal learning experience. AI-powered learning tools could reinforce biases and perpetuate discrimination, leading to unequal access to educational opportunities and reinforcing societal inequalities.

Moreover, the overreliance on AI could lead to a devaluation of human expertise and creativity, leading to a homogenized education system that values efficiency over innovation. This could stifle critical thinking and independent learning, leading to a generation of students who are unable to navigate a complex and rapidly changing world.

Middle of the Road Scenario:
In the middle of the road scenario, AI will have both positive and negative impacts on education, depending on how it is implemented and used. AI-powered learning tools may improve learning outcomes and increase efficiency, but they may also raise ethical concerns around data privacy, bias, and accountability.

To avoid the negative impacts of AI, it will be important to ensure that AI is used ethically, transparently, and in a way that enhances human agency and creativity. This will require a collaborative effort between educators, policymakers, and technologists to create an education system that is both innovative and human-centered.


I followed up with this question:

Of those three scenarios, which do you think is most likely to happen?

Here is its answer:

It’s difficult to predict with certainty which scenario is the most likely to happen because it depends on various factors, such as the pace of technological development, the regulatory and ethical frameworks in place, and the cultural and societal attitudes towards AI.

However, based on current trends and developments, I would say that the middle of the road scenario is the most likely to happen. This is because while AI has the potential to improve education, there are also significant challenges and ethical concerns that need to be addressed. It’s important to balance the benefits of AI with the potential risks and negative impacts, and to ensure that the use of AI is guided by ethical principles and human values.

Moreover, the education sector is complex and multifaceted, and the impact of AI is likely to vary depending on the context and the specific application. Therefore, it’s important to take a nuanced and evidence-based approach to the integration of AI in education, and to continually evaluate and adjust the use of AI based on its effectiveness and impact.


Out of the mouths of AI tools….