Data privacy is a human right Mission and values count We believe that privacy requires its own focus and cannot just be subsumed un­ Founding values drive culture. They are not something that can be bolted on as a company grows. We saw this in the missions of three of our most successful der trust and safety. Fortunately, given the myriad of regulations like CCPA, DGA, DMA, DPA, GDPR, PIPA, and PDPO that emerged in recent years, companies are companies over the last decade. Lyft was dedicated to improving people's lives with the best transportation; Poshmark put people at the heart of commerce, already working on putting data controls in place. This is especially important in the age of generative AI, when models produce new data from training sets, and empowering everyone to thrive; HashiCorp built criticai infrastructure that allowed the unauthorized use of training data has become a signi昀椀cant intellectual prop­ others to innovate. This time around, we are having similar discussions with Al-昀椀rst founders to see if they have a human-centric mission and authentic values. We erty concern. Regulations for the ethical use of data, which provi de assurance and risk management, are now emerging across the globe. want to understand what drives their thinking about the impact of their technology and ensure we're aligned. Governance areas that have to be addressed include discovery and inventory of ali data; detection and classi昀椀cation of sensitive data; understanding models' GenAI has to be in your DNA access and entitlements by users; consent, legal basis, retention, and residency The recent explosion in AI has been driven by innovative thinking by researchers, understanding; and quality and lineage. model builders, ethicists, and technologists. We believe that founders who have been steeped in that world understand how to design and build people-昀椀rst AI Paying attention to these things is criticai. We are asking founders to do so and businesses. encouraging them to build guardrails now. lt will be too hard to act once the pro­ verbial data horse has left the barn. So when we meet with founders, we are looking for: A fundamental belief that AI will augment humans, not replace them - Superhuman impact can be scored AI is a teammate or even a co-founder. We believe that people-昀椀rst AI will truly elevate humans, and we are working on a A founding team that has worked in the academic or applied generative AI 昀椀eld, or one that has a unique insertion point into the generative AI wave. design framework to measure that potential when meeting founders. Going back to our company examples, Lyft, Poshmark, and HashiCorp elevated drivers, sei ler A passion for design and user experience to bring out the invisible AI capabilities to ali human-computer interaction and workflows. stylists, and cloud practitioners, respectively, enabling them to grow into vibrant communities. They had to make tough decisions to stick with their commitment Solutions that are powered by generative AI elements like LLMs, propri­ etary models and datasets, and a chatlike natural language interface. but ultimately were rewarded by the satisfaction of having achieved their missions An overall value proposition that involves the cognitive offioading of of empowering and elevating people. repetitive tasks. As an inception and early-stage investor, our focus is to champion entrepreneurs and help them build iconic companies. We believe that bringing a people-昀椀rst Trust and safety cannot be an afterthought As we already know, there are some harmful effects of AI. Some we have identi昀椀ed approach to fostering generation-de昀椀ning AI companies will result in enduring companies and a richer, better world. include hallucinations, poisoning, lack of transparency, inequity, injustice, bias, deep fakes, IP and copyright infringement, and violations of privacy and security. We are asking founders to evaluate the trustworthiness of the models driving their innovation, and encouraging them to look at pioneering work on holistic model evaluation such as that being done at Stanford. We believe founders need to evaluate this not only at the time of model selection but also in the whole lifecy­ cle of a model, from development, to testing, and deployment. At the sa爀渀e time, compliance with the growing regime of regulations, guidelines, and frameworks for the responsible use of AI is paramount.