Artificial Intelligence

 

MLSI organized an intriguing and exciting session on Artificial Intelligence(AI) for our MYP students. The aim of the session was to introduce students to the innovative work in the field of AI and provide meaningful exposure about the future of careers and jobs.

The school invited AI and machine learning expert Jehan Shams, who spoke extensively on the three stages on AI:

  • Artificial Narrow Intelligence – Created and programmed by humans for conducting specific tasks
  • Artificial General Intelligence – the only example of this is the Human Brain
  • Artificial Super Intelligence – A system that would surpass human intelligence, thus making it unpredictable. Such a system has not been created yet.

He introduced the subject by first understanding the students’ perception about math and its relation to daily life. Groups of students identified objects around the room and analyzed which math elements were used and why.

The session saw students take keen interest to understand the complex world of AI as well as understand its ethical repercussions. They were further divided in groups for a workshop that allowed them to envision a future a thousand years away. The students vividly described this future to be highly proficient in the use of AI where treating new diseases or conserving the environment were tasks that were easily accomplished. Students envisioned using AI to help humans improve their abilities, making them enhance our capabilities so that humans could cope with a changing and uncertain world. They also realized the need to teach their futuristic bots empathy, a trait they value and deem important for the coexistence of humans and thinking machines.

 

We asked students to share their experiences with us and below is their responses.

Krish, MYP 6 Iris, said, “I learnt a lot of new things today! I also thought out of the box and realised what AI actually is. It helped me wonder about the future and prepare for it too”

Livanah, MYP 7 Aster, said, “It was fun to explore math everywhere. We learnt a lot about AI and its exciting possibilities for the future. It was great that we got the opportunity to learn about AI”

Samyak, MYP 8 Aster, said, “It was great! I learned a lot about the importance of mathematics and AI! In fact, AI is pretty interesting. I realised I am smarter than Siri – she is a level 1 AI and I am level 2 !! ”

Ishaan, MYP 8 Aster, said, “I was shocked at the fact that you had to put in so much time and effort to create ANIs. Creating an AGI is going to push human intelligence to evolve to the next level”

Arjun, MYP 9 Aster, said, “We are grateful for the exposure to learning about different aspects of AI. It inspired me to learn more about this field of study and feel hopeful for the future”

Vidhi, MYP 9 Iris, said, “It was a great experience, very informative. The speaker gave us a new vision for the future and inspired us”

Ahaan, MYP 10 Aster, said, “It was really interesting and fun! Learning about AI and how it works, the different stages of it and how its all connected and where could it lead to in the future”

Our vision at MLSI is to ensure our children are future ready. Hence, it is our responsibility to provide them with meaningful experiences that will help them carve a bright future. We are happy that Mr. Jehan could come to the school and share such valuable information with our students which I am sure would stay with them for a long time. We will continue to host many such sessions for our students with a hope that it further ignites their curiosity about the future.

 

About Jehan Shams:

Jehan Shams…also known as JJ to MLSI.

JJ is part of a panel of another inter school event called Brain Camp. He has come to Mumbai from New York and we are delighted that he agreed to be with us.

JJ has received the IBDP from New York and studied mathematics at Vassar college.

He presently works with a data analytics company – YouGov – which focusses on analyzing a continuous stream of data with deep research expertise and broad industry experience, to develop the technologies and methodologies that will enable more collaborative decision making, and provide a more accurate, more actionable portrait of what the world thinks.

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