Researchers from MIT and the University of Queensland in Australia, came up with more than 750 AI risks worth capturing in its official AI Risk Repository, which is free—the first of its kind—and available to the public. Lead researcher Peter Slattery, PhD, MIT FutureTech says “If current understanding is fragmented, policymakers, researchers, and industry leaders may believe they have a relatively complete shared understanding of AI risks when they actually don’t.” The researchers distilled down all categories of AI risks to the following seven buckets or domains: Discrimination & Toxicity, Privacy & Security, Misinformation, Malicious actors & misuse, Human-computer interaction, Socio-economic & environmental harms, AI system safety, failures & limitations. Within each of these domains are a total of 23 more specific categories to further refine the nature of the AI risks. “We’ve extracted and synthesized the risks from many of the major frameworks to reveal the overlaps and gaps and provide a more accessible, searchable and comprehensive overview of the AI risk landscape,” wrote Slattery.
Landbase “agentic AI” platform take actions based on performance feedback and improves marketing and sales outcomes
Landbase, a startup aiming to transform sales and marketing automation, emerged from stealth mode with a $12.5 million seed funding round. The company introduced what it calls the world’s first “agentic AI” platform for go-to-market strategies, potentially reshaping how businesses approach customer acquisition and revenue growth. Landbase has developed GTM-1 Omni, an AI model designed to take actions based on performance feedback and improve marketing and sales outcomes. The company claims early tests have shown a sevenfold increase in conversion rates compared to traditional AI models for outbound lead generation. The startup distinguishes itself with a proprietary knowledge graph incorporating private data on company firmographics, individual profiles, and campaign performance metrics. This approach allows for more informed predictions and recommendations compared to models trained solely on public data.
Datricks has created a “financial integrity” tool that maps processes and transactions across business management platforms such as SAP, Oracle Database and Salesforce
A startup called Data.R.X LTD, which likes to be known as Datricks, has closed on a $15 million Series A funding round after developing a platform that uses artificial intelligence to try and uncover financial fraud at enterprises and other organizations. Datricks has created what it likes to call a “financial integrity” tool that uses AI algorithms to analyze and map organization’s business processes and financial transactions across business management platforms such as SAP, Oracle Database and Salesforce. It extracts and correlates information from these platforms to reverse-engineer a comprehensive view of customer’s entire financial workflows, looking for patterns within the data that might indicate financial fraud. The startup claims its risk mining tools can identify fraud patterns, anomalies and compliance issues with extremely high accuracy. It will then highlight the risks it finds for human investigators, and it can also conduct a detailed root cause analysis of any incidents to identify why the anomaly occurred. One of the biggest advantages of its platform is that it requires “zero configuration.”
Gusto an AI assistant for SME owners that can answer questions such as on compliance requirements or tax filing
Gusto will soon add an AI-powered assistant called Gus to the human resources (HR), payroll, benefits and compliance platform and products it offers for small business owners. The company opened a waitlist and said it will make the AI assistant available to customers and partners soon. Gus can provide business owners with quick answers to their most frequently asked questions — like their compliance requirements or what they need to do to file their taxes. It can also give them personalized insights specific to their own businesses, based on their information on the Gusto platform. And Gus can help quickly execute tasks on business owners’ behalf — while giving them final approval on any actions taken. The AI assistant will provide step-by-step instructions along with a link to a relevant support article from Gusto. When providing personalized insights about the business, Gus will run a report, deliver insights in natural language and provide a link to a full report.