A little human emotion is good for your company’s customer-facing tech. Too much can make it susceptible to manipulation.
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When a company’s data is labeled incorrectly, machine-learning models can’t use it correctly. Nvidia wants to patent a potential solution.
CIOs are leading the AI cybersecurity charge because they typically oversee initial tech adoption, addressing governance and safety issues.
Brian Chess, SVP of AI at Oracle NetSuite, talks to CIO Upside about using AI in a way that serves your organization.
AI can always write for you, but it’s not always right. That’s why JPMorgan wants to double-check its LLM’s homework.
While 78% of organizations say they fully trust AI, only 40% of them invest in ethics frameworks, according to SAS research.
Even for major AI firms, ‘you can’t do it alone.’
With many workers in a state of uncertainty, ‘ignoring those fears risks disengagement and turnover,’ one expert said.
Bias is one of the fundamental issues that AI developers face as they build and deploy models.
‘It’s never just about your lines of code produced,’ said Capital One’s Catherine McGarvey.
‘It’s pure creation of gold from sawdust on the floor,’ one executive said.
You don’t need an LLM that can do everything, one developer argues. Bespoke design is more effective and less expensive.
‘Governance should be taught, but isn’t. Ethics should be applied, but aren’t.’
Nvidia has announced a host of new models, libraries and infrastructure for robotics developers.
Why enterprises need a “single pane of glass” to control agents
‘There needs to be someone held responsible.’