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Since Google Translate butchers Azerbaijani-to-English translations, I've done this manually. You can find the original Azerbaijani version here: https://bizim.media/az/ekologiya/221890/cop29-da-istirak-eden-suni-intellekt-mutexessisinden-dezinformasiyalarla-mubarize-ile-bagli-yen-deya-ndash-msahb/
NEW IDEA FROM AI EXPERT AT COP29 ON COMBATING DISINFORMATION – INTERVIEW
Among the numerous benefits of Azerbaijan hosting COP29 is the opportunity to showcase the great talents present in our nation. Today, our guest is Orkhan Mammadov, a young artificial intelligence expert who spoke on the topic of AI at a major event in COP29.
Orkhan, can you tell us a little about yourself?
I’m Orkhan Mammadov, a 16-year-old artificial intelligence enthusiast currently studying at School-Lyceum 6. I have worked on many machine learning projects and write articles on the topic.
What did you present at COP29?
I was invited to speak at an event organized in collaboration with UNESCO on AI at the “Digital Innovation Pavilion,” specifically about how awareness about climate change could be raised and misinformation surrounding the topic could be combatted. This pavilion was established in partnership with many renowned companies such as KPMG and SAP SE. I focused on the role of machine learning algorithms in shaping public awareness and actions regarding this global issue.
Could you tell us the main points of this presentation?
Yes, I’d be glad to. I discussed how machine learning algorithms used on social media platforms influence public opinions and actions regarding climate change. I highlighted both the upsides and downsides of using such algorithms on social media with regards to the climate crisis. One major advantage is the recommendation of each creator’s content to their appropriate audience, allowing content producers to more effectively spread their message. However, I also touched upon how such algorithms may spread misinformation. I explained how machine learning algorithms, such as content recommendation systems, often reinforce confirmation bias by giving people what they like, rather than what is accurate.
What other interesting ideas were raised at the event?
The speakers at the event were highly qualified and skilled in their fields, presenting numerous valuable ideas. Some ideas that particularly interested me included enforcing fact-checking on social media posts addressing important and sensitive topics and developing products to more accurately identify AI-generated misinformation—a technology still in its infancy. I believe this could be a topic for me to work on in the future.
How did you become so skilled in artificial intelligence and machine learning at such a young age?
Time and hard work. When I first developed an interest in the field, I already had a strong foundation in computer science and mathematics, which allowed me to learn quickly. I primarily rely on online courses and university textbooks for my studies. Many leading universities in the United States and Europe generously offer free courses for those eager to learn.
What advice would you give to beginners in this field?
My main advice to beginners is this: work on real-world projects and don’t be afraid of failure. While courses and textbooks are valuable, hands-on experience is essential for building competence. Every failure is an opportunity to learn and improve. Most importantly, do not underestimate the importance of mathematics and invest great effort into learning it. AI is fundamentally rooted in mathematics.
What are your goals for the future?
I want to advance artificial intelligence and ensure its benefits reach every community.