“Through the AI Act and through the [AI safety- and security-focused] Executive Order — which is to mitigate the risks of AI technologies while supporting their uptake in our economies.”Earlier this week the US and the UK signed a partnership agreement on AI safety.
Wider information-sharing is envisaged under the US-UK agreement — about “capabilities and risks” associated with AI models and systems, and on “fundamental technical research on AI safety and security”.
It also announced a plan to spend £100M on an AI safety taskforce which it said would be focused on so-called foundational AI models.
At the UK AI Summit last November, Raimondo announced the creation of a US AI safety institute on the heels of the US Executive Order on AI.
Neither the US nor the UK have proposed comprehensive legislation on AI safety, as yet — with the EU remaining ahead of the pack when it comes to legislating on AI safety.
Google is introducing improvements to search suggestions in Chrome, the company announced today.
As part of the changes, users will start to get more helpful search suggestions in Chrome based on what others are searching for, see more images for suggested searches and find search suggestions even with a poor connection.
Search suggestions are the drop-down list of suggested completions that appear before you finish typing out your query in Google.
With these new updates, Google is expanding the availability of search suggestions and using them to boost inspiration.
For example, if you start typing out “bohemian table,” Google will display an image of a bohemian table, bohemian tablecloth, bohemian table runner and bohemian table lamp.
Google is hopeful it will soon be able to ‘unpause’ the ability of its multimodal generative AI tool, Gemini, to depict people, per DeepMind founder, Demis Hassabis.
The capability to respond to prompts for images of humans should be back online in the “next few weeks”, he said today.
Asked by moderator, Wired’s Steven Levy, to explain what went wrong with the image generation feature, Hassabis sidestepped a detailed technical explanation.
Instead he suggested the issue was caused by Google failing to identify instances when users are basically after what he described as a “universal depiction”.
The issue is “very complex”, he suggested — likely demanding a whole-of-society mobilization and response to determine and enforce limits.
