Identosphere 220: OWF in Davos • Verifiable AI • Web3 Commons • Privacy Preserving Machine Learning
We curate the latest in verifiable credentials, decentralized identity and their intersection with public policy, human rights and trends like AI and Web3. Your support is greatly appreciated.
did:webvh is a decentrilzed identified method that is positioned as a more secure replacement for did:web. It is gaining popularity as it's easy to understand, well specified and offers a few improvements over just serving your current did document
Siddharth Sharma, head of IT operations at Digi Yatra Foundation, says the usage numbers are staggering – 8 million downloads and used over 38 million times across 24 airports in just 22 months. “It is one of the largest successful implementations of self-sovereign identity or decentralised ID,” he says.
Traditionally, organizations have used access control lists (ACLs) and role-based access control (RBAC) based on groups to authorize activities. These methods are static, requiring that lists or groups be updated manually as people move between roles or leave employment. When this is extended to partners, suppliers, and other services, the problem is that much worse. And excess standing privileges are a real security risk.
Open Recognition Wallet Differentiating Factors a) Focus on holistic recognition: b) Celebration of diverse learning experiences: c) Community-driven validation:
The framework uses Blockchain technology to provide immutability, verifiable data registry, and auditability, as well as an agent-based model to provide protection and privacy for the patient data. We also define different use cases regarding the daily patient-practitioner-laboratory interactions and specific functions to cover patient data loss, data access revocation, and emergency cases where patients are unable to give consent and access to their data.
HI framework leverages ZPD to unify data across siloed systems, returning control to individuals
With Affinidi's HI solutions, users can seamlessly discover, collect, store, share and monetise their personal data through secure, consent-driven channels
Learn from real-world applications and hackathon innovations that showcase the potential of MDLs in disaster recovery, financial services, and even mobile voting. Understand the broader societal implications, challenges, and exciting opportunities that lie ahead in the decentralized identity landscape.
After explaining the building blocks of SSI, the presentation will explore how this approach redefines identification systems, enhancing privacy and security. We’ll wrap up with a real-world example of how an SSI-based approach can be used to manage identities in an enterprise blockchain-based scenario.
Thanks to the Dean of Digital Infrastructure for enabling this technology to be used at IIT Kanpur, and thanks to Prof Satyaki Roy and his team for creating this video to explain it.
The paper [Personhood credentials] highlights how existing verification tools, such as CAPTCHAs and document-based checks, are increasingly ineffective against advanced AI. Economic incentives and the widespread availability of AI tools exacerbate the problem, allowing bad actors to operate on a large scale.
We recognize that putting our Responsible AI Principles into action also requires external collaboration. For example, we have been working with C2PA (via Truepic) around technology to certify the source and history (or provenance) of media content – for instance, adding a digital mark to content generated or modified by AI. We are also actively engaged in international, regional, and national standard bodies such as ISO, the ITU, CEN-CENELEC, ETSI, DIN, AFNOR and the BSI to define technical standards addressing our Responsible AI Principles.
Our values—purposeful innovation, passionate execution, collaborative community, and unquestioned integrity—are at the core of what we do. To that end, we strive to create responsible AI technologies that help advance society.
Identity Check activates automatically when a device leaves designated trusted locations. Once active, it requires biometric authentication, such as fingerprint or facial recognition, to access sensitive resources
