Lord Nat Wei of Shoreditch presented a bold vision for the future of more open and transparent government, which he calls 'Democracy 3.0'. What might it take to facilitate systemic long-term incentives to support this evolution?
Simon Maple, Founding Developer Relations at Tessl, explains how it is re-thinking AI development workflow from the ground up, starting with better specifications. A key is keeping developers at the center to build trust in a different and more autonomous software development lifecycle.
Private investors are optimistic about data center growth despite growing concerns that AI investments may be hitting a bubble. However, this requires a cautious strategy for navigating trade, energy, and technology innovation uncertainty.
Lee Fulmer, senior advisor at McKinsey and Chairman of the OpenUK Finance Advisory board, weighs in on why open banking is such a hard problem. His insights have important implications for the essential challenges that need to be addressed for more trustworthy financial services and AI.
Simon Dawson, Head of Engineering at Atom Bank, weighs in on how it became the first profitable online bank in the UK. Key elements included a focus on ethical practices and practical technology adoption metrics. He also discusses how they are assessing new AI coding tools.
New Chinese rare earth element controls are not exactly new or fair. However, further constrictions and traceability requirements on this approximately $10 billion market could have an outside impact on shaping multi-trillion dollar industries like chips, wireless, renewables, robots, and advanced military kit - and it might just be a non-story.
Wikidata has built the semantic web backbone supporting knowledge cards in popular engines. Now, it's extending this foundation using a vector database to enhance its existing knowledge graph and graph database for AI use cases.
News sources are increasingly navigating conflicting accounts of reality. How does Wikidata approach this challenge to improve trust?
AI vendors continue to double down on the narrative that Artificial General Intelligence (AGI) is just around the corner. Shifting the focus to quality might be a better goal in building trust and delivering value.
Technical folks tend to argue that AI is not alive, conscious, sentient or even intelligent. Yet there are important implications to treating it so today, even before Artificial General Intelligence becomes a reality. In operation, there is always a human behind the wheel or on the road ahead much like cars.
Regulators are increasingly calling for fine-grained data compliance in financial services industries. Steve Neat, Chief Revenue Officer at Solidatus, weighs in on how this works and its broader implications for building trustworthy AI.
AI may get all the love these day, but building a solid foundation for skills and processes is equally important.
New deep search chatbots are making impressive progress in searching and synthesizing well-organized prose. But glaring gaps in contextualization and sourcing continue to limit their ability to inform trustworthy insight.
