Is your business ready for an AI audit?
Today’s question: How can I make sure my AI systems are safe, secure, and ethical in the event of an AI audit?
As generative AI has proliferated, ethics, privacy, and transparency are now key considerations among regulators, consumers, academics, and even private companies with skin in the game. Many are calling for independent AI audits as a way to protect the public from AI’s potential harms.
What constitutes an AI audit, and what safeguards can you put in place to protect your data, customers, and organization? We break it all down here.?
Should you train your own large language model (LLM) or license one that’s ready to go?
Many companies are sitting with this question right now.? There are three key reasons that a foundational (sometimes called a pre-trained or open source) path may be a better choice for your organization. Learn how foundational LLMs deliver immediate business value and if they’re right for you.?
What our community is saying?
“A key point [about generative AI] is how big businesses will organize their data. Salesforce hit on that point when they talk about data and having a single trusted secure environment. In practice this can be challenging, especially when there are multiple data streams coming from legacy systems. Getting these in one organized place is the key to enabling AI.”
— Jonny Acton , Commercial Director at CPM UK ?
What we’re reading?
This newsletter was curated by Lisa DiCarlo Lee , Contributing Editor at Salesforce
What’s the biggest question you have about AI? Let us know with a comment below. We read every single one and may just choose yours as the subject for a future newsletter.
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