As AI agents continue to gain autonomy, they create complex legal issues surrounding accountability. Harvard Law lecturer Jordi Weinstock suggests a canine analogy to categorize AI types, focusing on their danger levels and human connections. Current legal cases, such as the Air Canada example, deal with less complex AI issues. Moving forward, we may need fresh regulations to better define ownership and control for these emerging autonomous entities.