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SINGAPORE - Media OutReach - 7 June 2022 - X0PA AI is one of the five start-ups in the Asia Pacific and Europe, chosen by TTC Labs, Meta, and IMDA to collaborate to engage start-ups and policymakers on prototyping policies and products that focus on AI explainability.
With the increasing adoption of AI across various industry verticals and use cases, the conversations around greater transparency and explainability of AI systems are also growing. The overall AI ecosystem is looking to foster trust in AI. Globally, several principles, guidelines, frameworks, and laws have been created to govern the development and use of AI. Singapore has published a Model AI Governance Framework (Model Framework) which advocates transparency and explainability in the decisions made by, or with, the assistance of AI.
The Model Framework and the associated guide, the Implementation and Self-Assessment Guide for Organisations (ISAGO), provide practical tools to help developers and users of AI systems do this responsibly. To ensure the implementation of this framework and guide, the Infocomm Media Development Authority of Singapore (IMDA) partnered with Meta’s TTC Labs and Open Loop to translate key concepts of transparency and explainability into prototypes.
X0PA amongst other four startups was chosen to test the product framework for AI explainability, build prototypes, and share their findings, insights, and experiences.
“X0PA participated so we get to work together with other start-ups, Meta, TTC Labs and IMDA to further improve our product development prototyping process so that we can make our AI more explainable and provide a better user experience. We also participated as we strongly believe in working together to push for a people-centric and explainable approach to AI," says Lee Gang, Head of Data Science, X0PA AI.
The objectives of this project were to
Check out the insights and learnings in the report, click here
With the increasing adoption of AI across various industry verticals and use cases, the conversations around greater transparency and explainability of AI systems are also growing. The overall AI ecosystem is looking to foster trust in AI. Globally, several principles, guidelines, frameworks, and laws have been created to govern the development and use of AI. Singapore has published a Model AI Governance Framework (Model Framework) which advocates transparency and explainability in the decisions made by, or with, the assistance of AI.
The Model Framework and the associated guide, the Implementation and Self-Assessment Guide for Organisations (ISAGO), provide practical tools to help developers and users of AI systems do this responsibly. To ensure the implementation of this framework and guide, the Infocomm Media Development Authority of Singapore (IMDA) partnered with Meta’s TTC Labs and Open Loop to translate key concepts of transparency and explainability into prototypes.
X0PA amongst other four startups was chosen to test the product framework for AI explainability, build prototypes, and share their findings, insights, and experiences.
“X0PA participated so we get to work together with other start-ups, Meta, TTC Labs and IMDA to further improve our product development prototyping process so that we can make our AI more explainable and provide a better user experience. We also participated as we strongly believe in working together to push for a people-centric and explainable approach to AI," says Lee Gang, Head of Data Science, X0PA AI.
The objectives of this project were to
- Build AI transparency principles into an operational AI explainability and control (AIX) framework. This framework will provide guidance for front-end experiences across industry use cases.
- Understand future-facing challenges and best practices to help inform industry-facing public policy developments showcasing what ideal governance paths might look like.
- Produce report synthesizing research process, outputs, and learnings into practical insights.
Check out the insights and learnings in the report, click here
About X0PA AI
X0PA is an AI-powered end-to-end B2B platform that helps in streamlining hiring and selections, from sourcing potential candidates, screening objectively and at scale, virtual and asynchronous interview/assessments, and final selections and onboarding. The sophisticated built-in automation helps in scaling efficiencies multi-fold, however, the biggest advantage of X0PA is the power of objectivity in selections.
Using AI and ML to “screen candidates in rather than screen out” by eliminating biases both from humans as well as from the process that truly helps in making hiring equitable.
Recognized by IDC as AI-Innovator of APAC, X0PA has additionally won many other accolades and awards.
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