Asana is rolling out a host of new generative AI capabilities for its work management platform that are designed to streamline and provide greater clarity for team collaboration and productivity.
The new capabilities, announced today, come four months after Asana first said it would be adding AI functionality to its platform and outlined its AI principles, which stated the company was “committed to using AI in service of helping humanity thrive, this includes ensuring AI safety and transparency in practice and in product.”
Today’s announcements fall into three categories: maximizing impact, driving clarity and accountability, and scaling up.
From today, users will have access to some of the newly launched “maximizing impact” tools, including smart fields, smart editor, and smart summaries capabilities. Smart fields auto-generates custom fields to help better organize projects, while smart editor can alter the tone of a pre-written draft.
Asana
Previously, Alex Hood, the chief product officer at Asana, said the company would not be rolling out feature sets that create new information for people to go back and check.
Asana has been focused on building tools that summarize, digest, and create things as they relate to projects, rather than create brand-new content, because that’s what Asana believes will most help their customers, particularly in this “day and age when some of us are getting AI happy with all the content generation,” Hood said.
“Because Asana’s Work Graph has deep links to its own chain of logic and reasoning, not only do you get like an answer, [smart answers] shows its work,” Hood said, noting that’s important because of current fears around generative AI and what has been called the black box problem or hallucinations — the tendency for generative AI to sometimes make up false information.
“Sometimes you get a beautiful answer from AI and sometimes you get an answer that causes you to say: “I don’t even know what it’s talking about here,” Hood said. “But, with the Work Graph data model, it’s not inferring a lot, it’s actually just reading inside these elements and can therefore share the reason why [smart answers] is 70% confident [in its response].”
Smart summaries surface highlights from task descriptions and comments, along with key action items. In the future, the software will be able to make video calls actionable by turning meeting transcripts from calls into summaries and action items. Users will also have access to smart workflows, a workflow creation tool that uses natural language instructions, and smart digests, a feed that tracks project updates and changes.
Driving clarity and accountability
Due to launch at the end of this year, smart status uses AI to pull real-time work data that can identify risks, open questions, and roadblocks standing in the way of hitting goals, allowing for more comprehensive status updates, while smart answers will use…
2023-10-03 08:48:02
Post from www.computerworld.com rnrn
