“In an ideal scenario, we would have full confidence in the controllability of AI systems both now and in the future. Reliable mechanisms would be in place to ensure that AI systems do not act deceptively. There would be a strong understanding of AI system internals, sufficient to have knowledge of a system’s tendencies and goals; these tools would allow us to avoid building systems that are deserving of moral consideration or rights. AI systems would be directed to promote a pluralistic set of diverse values, ensuring the enhancement of certain values doesn’t lead to the total neglect of others. AI assistants could act as advisors, giving us ideal advice and helping us make better decisions according to our own[…]
Tag: scenario
Suppose the following scenario: Series A or B; A data science firm (narrow machine intelligence, applied machine intelligence, general machine intelligence, predictive or prescriptive analytics, software or hardware); Technical CEO / Co-Founder; Chief Marketing Officer (CMO) just hired; What might the CEO-CMO relationship look like? The relationship could be great. If there’s one stereotype about data science CEO’s, it’s that they like incentives to be aligned. The CMO would likely be brought on to focus on growth. If revenue grows, valuation grows, and collective comp would grow. There might be points of friction. From the CMO’s Perspective: Why is the CEO constantly at me about metrics all the time? Why is the CEO always on about non-working dollars? (Why don’t[…]