What is AI in Genetics?

1. Keeping Genetic Information Safe AI needs lots of genetic information to work. But who gets to keep this information? And how do we make sure it doesn’t get stolen? If someone gets their DNA data hacked, it could be used against them, like making it harder to get a job or health insurance.Real-Life Example: In 2018, the genetic testing company MyHeritage suffered a data breach affecting over 92 million users. This raised concerns about the safety of sensitive genetic data and how companies should protect it (Source: BBC News).
2. Fairness in AI Predictions AI can sometimes be unfair. If it mostly learns from certain groups of people, it might not work well for everyone. That means some people could get bad medical predictions or tre ...