5.1 Harmful and Beneficial side of tech
Popcorn Hack 1: Technology can be beneficial for doctors and work in medical spaces because it can more accurately measure proportions, clock in hours, and measure whether or not patients are well. technology can be dangerous because it makes bullying/cyberbullying, threats, and reliance on technology more common.
Popcorn Hack 2: Cyber attacks are getting increasingly more common, we can avoid these by not sharing information on the internet, staying less connected, and making sure we don’t rely on technology.
Popcorn Hack 3
I think it’s important to understand the unintended consequences of technology because it can lead to harmful effects for millions of people’s daily lives, changing the way we live overall. I think it’s important to know the risks of social media platforms like Instagram and TikTok. Although they can be good, it’s important to limit the time spent on these platforms and how much we rely on these platforms daily.
Homework Hack 1
AI Innovation: Facial Recognition
Original Use: Initially designed for security and identification purposes, such as unlocking phones, verifying identities at airports, and enhancing surveillance.
New Use Case: Using facial recognition in wildlife conservation to identify and track individual animals, such as endangered species, for research and anti-poaching efforts.
Impact:
✅ Benefits:
- Helps researchers monitor wildlife populations and study animal behavior more efficiently.
- Assists in preventing poaching by identifying and tracking endangered animals in real time.
⚠️ Risks:
- Privacy concerns if the technology is misused for tracking people instead of animals.
- High costs and technological challenges in adapting facial recognition to non-human subjects.
Homework Hack 2
Ethical AI Coding Challenge
Problem: Facial recognition software has been used in law enforcement but has shown racial and gender biases.
Risk: Misidentifications can lead to wrongful arrests and privacy violations, disproportionately affecting marginalized groups.
Solution 1: Train AI models with diverse and representative datasets to reduce bias.
Solution 2: Implement human oversight by requiring multiple verification methods before making decisions.
Reflection: Ethical AI development is crucial to ensure fairness and prevent harm. AI should be transparent and accountable to avoid reinforcing societal biases. Developers must carefully design and test AI to ensure it benefits all users fairly.
Homework Hack 3
AI & Unintended Consequences Research Task
AI Example: Amazon’s AI hiring tool.
What Happened: The tool was designed to automate candidate screening but ended up favoring male applicants because it was trained on biased past hiring data.
Response: Amazon scrapped the tool after discovering its gender bias.
Prevention: Developers should test AI models for bias before deployment and use fairness-aware algorithms to prevent discrimination.