Building a Responsible Metaverse Privacy by Design and by Default enhanced data protection measures for high- For instance, how does compliance with the Key Takeaway risk data and novel uses of data, and proactively right to delete user data guaranteed by privacy New types of data and new online ecosystems inform people about how their data is being statutes work in a decentralized ecosystem breed novel privacy risks. The metaverse will likely safeguarded. These transparency measures will where entities from all over the world are make it easier to construct convincing deepfakes, go a long way in keeping users engaged and recording their transactions via an immutable Companies that implement detect emotional or psychological responses, and active, especially for certain demographics. In blockchain? How can organizations moderate intuitive privacy defaults and make it more difficult to truly erase information. fact, our study found that Millennials and Gen-Z content in a space where users are engaging in innovative transparency approaches The metaverse will generate an unprecedented were even more likely than consumers in older live interactions as avatars, including non-verbal are more likely to succeed at amount of data, including real time information generations to engage in the metaverse if there communication? How can notice and consent engaging and retaining people in about movement and physical attributes, spatial were enhanced data protection measures.9 mechanisms be best deployed in a realistic 3D the metaverse. Organizations can and social data about users’ surroundings, and environment? How to ensure that broader data further differentiate themselves leverage advanced machine learning that can Companies can win trust by designing protection, ownership and rights are consistently by anticipating users’ privacy deliver additional layers of insight. Physiological metaverse experiences with user privacy addressed across the entire technology stack? expectations in virtual worlds information such as facial expression and expectations built in from the start. Although Companies will need to innovate to not only based on analogous real-world attentional focus could reveal greater detail about it can be challenging to anticipate privacy create compelling metaverse experiences, but scenarios. Strong data protection people’s mental, physical and emotional states, expectations in online environments, one of the also to ensure privacy and data protection are practices create a baseline for trust while spatial data about users’ surroundings could great privacy opportunities of the metaverse lies built into those experiences from the start. when novel kinds of data are being paint a picture of peoples’ homes, places of work in its ability to replicate aspects of the real world. collected and processed. and social environments. This allows companies to leverage existing social and societal privacy norms from physical spaces Companies have an opportunity Companies can leverage this data to deliver (offices, homes, storefronts, entertainment to increase that trust by providing delightful, personalized experiences, innovate venues, etc.) to make intuitive privacy design proactive transparency and education new products and strengthen loyalty with users. decisions in similar virtual spaces. Privacy about the data protection measures At the same time, however, companies must defaults that reflect the expectations people they have put in place, especially for already have about privacy in the real world younger, more digitally savvy users. temper innovation with a strong play for user trust given privacy risks. automatically improve trust and engagement in virtual and augmented reality environments. Companies can win trust by People want to know their data is safe, especially designing metaverse experiences when new kinds of data are being collected Many questions remain for achieving both trust with user privacy expectations and processed. Companies should implement and privacy compliance in the metaverse. built in from the start. 10