It's never too early to get your AI ethics right

We all know when AI crosses an ethical line. What's less easy is understanding what each of these examples have in common, and drawing lessons that apply to early-stage companies. There are plenty of broad statements of AI ethics principles, but few tools for putting them into practice, especially ones tuned for the harsh realities of startups tight on money and time. That challenge extends to VCs too, who must increasingly attempt to assess whether founders have thought through how customers, partners and regulators might react to the ways they're using artificial intelligence. Even when founders have the best intentions, it's easy to cut corners.