K
Kathleen Martin
Guest
AI could make our data privacy choices in the metaverse
Dense privacy policies and misleading website cookie notices are legacies of a bygone era. Today, data collection is becoming more ambient, and data is gathered in all sorts of places like virtually augmented environments and through IoT devices on city streets or in our homes.
To prepare, government and private-sector organizations want to update data privacy and management approaches. Some say data intermediaries are what could be next for managing data governance in Web3:
Dense privacy policies and misleading website cookie notices are legacies of a bygone era. Today, data collection is becoming more ambient, and data is gathered in all sorts of places like virtually augmented environments and through IoT devices on city streets or in our homes.
To prepare, government and private-sector organizations want to update data privacy and management approaches. Some say data intermediaries are what could be next for managing data governance in Web3:
- Data intermediaries are third parties that would serve as links between people and entities collecting their data, or between businesses and their partners.
- They could take on many forms, from digital agents and fiduciaries to trusts.
- They could even make automated decisions using artificial intelligence.
- The WEF report follows similar work from the UN, EU and U.K.
- In general, all these groups are in evaluation mode, assessing a variety of models for enabling secure and trustworthy data connections and sharing as the digital landscape evolves.
- The EU passed the Data Governance Act in November, establishing a framework for data sharing, data management and consent controls using data intermediation services like data wallets.
- Some anticipate AI models could learn from people’s previous data choices and then take over to automate future decisions.
- But once deployed, these models risk drifting away from their original state, making decisions in ways that were not intended.
