How This Applies Across Other Domains
These issues aren't unique to education. Wherever AI informs decisions, how the system is set up shapes who benefits.
Mental Health
AI can assess recovery and service performance - but how "recovery" is defined affects who counts as improving and which services succeed. Making this visible supports fair evaluation.
Climate Change
AI ranks countries by climate risk to guide funding - but different methods change who is prioritised. Transparency makes these decisions accountable.
Criminal Justice
AI assesses risk for sentencing or parole - but included factors can shift someone from low to high risk. Clarity is essential for fairness.
Financial Services
AI evaluates creditworthiness - but data choices and weighting can determine approval. Visibility allows decisions to be questioned and justified.