🤖 FIELD SPOTLIGHT: AI Ethics — The Research Field That Can't Grow Fast Enough
AI is advancing faster than our ability to understand its consequences. That gap is exactly where researchers are needed — and where young voices matter more than people realize.

1️⃣Algorithmic Bias
AI systems trained on biased data produce biased outcomes. Facial recognition software has been shown to misidentify darker-skinned faces at significantly higher rates. Hiring algorithms have penalized women. Researching how bias enters AI systems — and how to detect or remove it — is one of the most urgent areas in tech right now.

2️⃣AI & Mental Health Chatbots are increasingly being used as mental health support tools. Do they actually help or do they cause harm? What happens when someone in crisis interacts with a poorly designed AI? These questions are wide open.

3️⃣Deepfakes & Misinformation
AI-generated images, videos, and text are becoming nearly impossible to distinguish from real ones. Researchers are studying the psychological and social impact of synthetic media — and how to build tools that detect it.

4️⃣AI in Education Does using AI tools improve understanding or create dependency? What are the fairness implications when some students have access and others don't? These are questions that affect you directly.

5️⃣Who Is Responsible?
When an AI makes a harmful decision — who is accountable? The developer, the company, the user? Legal and ethical frameworks for this are still being written in real time.

💻 You don't need to be a programmer to research AI ethics. Philosophy, psychology, sociology, and law all intersect here.