Identosphere 229 June 1-20 AI Focus • The MPC Bandwagon • ToIP trust: white paper & AI & Human Trust working group • AI Literacies
Identosphere is a weekly round up of the SSI and Decentralized Identity community newsletter put together by Kaliya Young, Identity Woman. We had a few month break in publishing this fills in the gap and covers June news with an AI Focus.
(Heather Flanagan) The MCP Bandwagon
If we’re moving toward a world where AIs are expected to do All The Things, interfacing with our applications and services, then having a universal adapter that lets AIs talk to everything is undeniably powerful…
By publishing the spec openly and encouraging others to use it, they’re aiming for what’s often called a “de facto standard”, something widely adopted even in the absence of formal standardization. Go team!...
Maybe that means finding a home for MCP within an existing SDO or spinning up something new and bespoke. Either way, the structure needs to happen.
The latest version of the MCP spec is now officially 2025-06-18!
⚙️ MCP Servers are no longer responsible for issuing access tokens or handling user authentication
🛡️ A dedicated Authorization Server separate from the MCP Server handles user authentication and issuing access tokens
🔍 RFC9728 Protected Resource Metadata enables the MCP client to dynamically discover the MCP Server's authorization server
👉 RFC8707 Resource Indicators are required as a security measure
(TOIP) How Can We Trust What We See Online? Here’s One Way Forward
In a world where AI can create photos, videos, and even voices that look and sound real, how do we know what to trust?
To enhance human trust in AI systems and explore how AI itself can be used to address complex trust challenges in digital ecosystems, Trust over IP (ToIP), a project of LF Foundation Decentralized Trust, has launched a new AI and Human Trust (AIM) Working Group.
The recently released white paper from the working group, ToIP Trust Spanning Protocol (TSP): Strengthening Trust in Human and AI Interactions, offers a way forward for building, maintaining and verifying interactions involving AI technologies. It brings together three powerful tools, the Trust Spanning Protocol (TSP)1, the C2PA Specification2, and the work of the Creator Assertion Working Group (CAWG)3, to build a system of authenticity for the digital world.
(TOIP / LFDT)New White Paper How Can We Trust What We See Online? Here's One Way Forward [Link to White Paper]
The Trust Spanning Protocol (TSP) [2] is a low-level internetworking layer protocol that allows generic messages to be exchanged between endpoints with highly assured trust. It supports asynchronous messages in their native form, on top of which more sophisticated patterns can be constructed. This approach is similar in intent to the original TCP/IP stack, where various transport designs can be layered on top of asynchronous IP datagrams.
When it comes to AI, do not suspend disbelief.
Anthropomorphism is bad enough with Large Language Models, but with image transformers, it might get completely out of hand—like the way very early cinema goers ran screaming from the theatre, convinced a locomotive was about to burst out of the screen and plough into the crowd. This is a new and deeper level of the Deep Fake problem. Even when smart people know the moving images are software generated, they tend to think the animations are real.
(Biometric Update) Indicio launches ProvenAI platform for authenticating AI agents
Indicio announces ProvenAI: A privacy-preserving identity infrastructure for AI agents
Indicio ProvenAI, is a digital identity infrastructure for AI agents and people to safely and securely authenticate each other and for people to be able to consent to share their data with an AI agent. ProvenAI’s use of Verifiable Credentials provides the trust needed for AI agents and agentic AI to access and use personal data for complex problem solving, enabling a revolution in digital products and services.
Your Brain on ChatGPT
This study focuses on finding out the cognitive cost of using an LLM in the educational context of writing an essay.
We assigned participants to three groups: LLM group, Search Engine group, and Brain-only group, where each participant used a designated tool (or no tool in the latter) to write an essay.
Antidote to AI
(DIF) Progress Report from the Creator Assertions WG
1) The specification includes a powerful new indirection called an Identity Aggregator, which designates an external authority to translate a long-lived identifier embedded in signed credentials (at time of publication) to one or more identifiers with local significance anywhere an asset is used (at time of republication or consumption).
2) Industry-specific identifier schemes are being researched by a distinct task force within the group for prototyping and getting adoption in media verticals.
3) Registering/organizing external metadata standards and DID interop are on-going discussions.
Personalize AI
Kwaai and Verida Join Forces to Accelerate the World’s First Open Source Personal AI Platform
In a transformative move for the decentralized technology ecosystem, Kwaai and Verida today announced their intent to join forces to create a world-leading, end-to-end decentralized AI platform. This union brings together two highly complementary open-source technology stacks to empower a new generation of private, personalized, and user-owned AI applications.
Toward a Personal AI Roadmap for VRM
Illustration of the Rec4Agentverse. The left side depicts three roles in the RecAgentverse: the user, the Agent Recommender, and Item Agents, along with their interconnected relationships.
Birthing the Agentic Web
We envision a world in which agents operate across individual, organizational, team and end-to-end business contexts. This emerging vision of the internet is an open agentic web, where AI agents make decisions and perform tasks on behalf of users or organizations.
Indeed, commerce titans are falling all over themselves to get in front of Agentic AI. [The post goes on to cover many of them]
AI LITERACY
What makes for a good AI Literacy framework?
There can never be a single ‘perfect’ framework suitable for every situation.
We used a traffic light (red/yellow/green) categorisation system to score each framework on the above criteria. Only one of the frameworks we reviewed, the OECD Framework for Classifying AI Systems, meets all criteria with a ‘green’ rating.
There are several other frameworks which we judge as meeting the criteria as ‘green’ except for one criterion (‘yellow’). Listed alphabetically by organisation, these are:
Core Values for AI Literacy
AI Literacy or AI Literacies?
In this post, we want to explore the tension we’ve felt between referring to ‘AI Literacy’ in the singular, versus referring to a plurality of ‘AI Literacies’. Ultimately, although our original brief used the singular form (as do many of our peers) we have decided to take the latter, plural, approach — for reasons we will explain below.
Gaps in AI Literacy provision
In this post, we continuing to share outputs from a project we’re working with the Responsible Innovation Centre for Public Media Futures (RIC), hosted by the BBC.
Human Agency and Informed Participation
Equity, Diversity, and Inclusion
Creativity, Participation, and Lifelong Learning
Critical Thinking and Responsible Use
Upholding Human Rights and Wellbeing
What is AI Literacy?
We Are Open Co-op's approach builds on the Eight Elements of Digital Literacies, a contextual, plural approach to AI literacies.
Exploring AI’s Role in Education: A Balanced Perspective from Six Think Pieces
This blog post summarises our very nuanced discussion surrounding AI’s role in education. If you’re interested in this type of thing, we’d recommend watching the full session.