Web 3.0 and its Potential Impact on Privacy Shifting Left in the Development Process
Keywords:Web 3.0, Shift-left privacy
The concept of Web 3.0 as the semantic web has been around since the early 2000s, and its decentralized interpretation gained more traction when the term was coined by Ethereum’s co-founder Gavin Wood. New programming languages were identified as the first enablers of Web 3.0, but under its new interpretation, other enabling technologies were identified. The three most significant of which are Artificial Intelligence (AI), Machine Learning (ML), and blockchain. IoT is both a concurrent technology and an enabler. Security and privacy-related challenges with the enabler technologies are already being identified and addressed. The privacy challenges associated with Web 3.0 as a whole are more difficult to identify due to multiple reasons, including the nascent form of the technology, the non-standardized definition of Web 3.0, and privacy (And compliance) concerns associated with decentralization. A decentralized version of the internet has the potential to evoke new, unprecedented privacy challenges, some of which may be addressed with further advances in blockchain (a key enabler). Other challenges and trends are associated with the other Web 3.0 enabler, i.e., artificial intelligence. Despite a wide variety of privacy challenges, there is a strong probability that Web 3.0 is highly likely to push privacy left in the development process. Many of the identified challenges with underlying Web 3.0 technologies can be better addressed at the early stages of the development process. Even though we have yet to see how development culture, our approach to privacy, and Web 3.0 as a tech will evolve, especially considering the myriad of new ethical concerns associated with AI, these factors may not impede privacy's shift to the left in Web 3.0.
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