AI & The Future: Shaping Tomorrow Innovation | Gamma Kosala | TEDxTelkom University

Summary of YouTube Video:

Key Concepts:

• Artificial Intelligence (AI)
• Machine Learning
• Street Crime/Kejahatan Jalanan
• Geng Motor/Klitih
• Proactive vs. Passive Security
• Society Protect Society
• Kolaborasi (Collaboration)

1. Introduction and Personal Trauma:

• Gama Kosala, from Yogyakarta, shares a personal experience of being attacked by a "klitih" (gang motor) group in high school, leading to trauma and a realization that Yogyakarta is not always safe.
• He highlights that street crime and gang motor violence are prevalent in major Indonesian cities like Medan, Surabaya, and Bandung.
• Kapoli states that 35% of conventional crimes are street crimes, emphasizing the urgency of addressing this issue.
• This experience motivated him to explore Artificial Intelligence (AI) as a potential solution to improve city safety.

2. Understanding Artificial Intelligence (AI):

• AI is explained using the analogy of a child learning the alphabet. The child learns by being shown numerous examples and identifying patterns.
• Machine learning allows AI to learn from data and solve problems.
• AI is already being used in various countries for security purposes.

3. Case Study: London Underground:

• The London Underground uses AI to detect potentially harmful actions.
• From October 2022 to September 2023, the AI system generated 44,000 alerts, with 19,000 being sent to nearby stations for immediate action.
• This demonstrates the potential of AI combined with CCTV cameras to enhance city safety.

4. AI for Detecting Geng Motor:

• Gama and his team developed an AI algorithm to detect "geng motor" activity.
• The process involved:
  • Collecting thousands of CCTV video data from major cities (Bandung, Jogja, Surabaya, etc.).
  • Categorizing videos into those with and without "geng motor" activity.
  • Training the AI model through thousands of hours of learning.
• The AI achieved an accuracy rate of over 90% in classifying the presence of "geng motor."
• The goal is to integrate this algorithm with existing CCTV systems to proactively prevent incidents.

5. Proactive vs. Passive Security with AI:

• Without AI, CCTV cameras are passive, primarily used for monitoring and evidence collection after an incident.
• Integrating AI transforms CCTV into a proactive tool, capable of predicting and preventing crimes like "geng motor" activity, theft, and other street crimes.

6. Limitations of AI and the Need for Collaboration:

• AI cannot function effectively without sufficient data input. CCTV coverage is not comprehensive, especially in rural areas.
• Therefore, AI cannot be solely relied upon for security.
• Collaboration with the community is crucial. "Society protect society."

7. Community Involvement and Monitoring Application:

• Gama and his team are developing a monitoring application that allows citizens to report suspicious activities in areas not covered by CCTV.
• Users can submit photos and captions, which are then verified by AI and relevant authorities.
• Validated reports are shared with all application users, fostering community awareness and vigilance.

8. Conclusion and Call to Action:

• Gama's personal trauma led him to explore AI as a solution for creating safer cities.
• He emphasizes that security is a collective effort, requiring collaboration between AI and the community.
• He encourages viewers to actively report suspicious activities and contribute to creating a safer, more comfortable city.
• "Keamanan bukan hanya warisan. Tapi hasil karya kolektif kita semua." (Security is not just an inheritance, but a collective work of art for all of us.)

9. Technical Terms Explained:

• Artificial Intelligence (AI)/Kecerdasan Buatan: The simulation of human intelligence processes by computer systems.
• Machine Learning: A type of AI that allows computer systems to learn from data without being explicitly programmed.
• Geng Motor/Klitih: Indonesian term for motorcycle gangs, often associated with street violence.
• CCTV: Closed-circuit television, a video surveillance system.

Main Takeaways:

AI has the potential to significantly enhance city security by enabling proactive crime prevention. However, its effectiveness depends on comprehensive data input and, most importantly, active collaboration with the community. The development of a monitoring application aims to empower citizens to contribute to a safer environment, highlighting the principle of "society protect society."