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AI Trends from 700+ Business Leaders Reveal Global Keys to Success

Salesforce Marketing Cloud

Almost all respondents (96%) said that trust is important – or even critical – when partnering with an AI vendor. Genuine concerns about unintentionally exposing private customer data, infringing copyright, or violating data regulatory compliance requirements raise a lot of questions.

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How to craft an effective AI use policy for marketing

Sprout Social

To effectively manage these risks, a company’s AI use policy should center around three key elements: Vendor risks Before integrating any AI vendors into your workflow, it is important for your company’s IT and legal compliance teams to conduct a thorough vetting process. This is harder to detect than something wholly inaccurate.

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The Responsible Approach to Generative AI

Content Standard

Foundational models are often trained on copyrighted works but don’t provide reliable sourcing in their results. They are cloud-based platforms that allow users to interface with pre-trained AI models directly in an unstructured environment.

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Generative AI faces more regulatory and legal challenges

Martech

With creative workers across the board, including marketers, looking to a future of generative AI-powered content creation, some of the highest profile vendors of the disruptive technology are facing regulatory inspection and at least one lawsuit. Been using this private property to train its AI technology, including its chatbot, Bard.

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AI ethics: How marketers should embrace innovation responsibly

Sprout Social

Comments like these just scratch the surface of ethical concerns across industries, but the top issues for marketers include: job security, privacy, bias and discrimination, misinformation and disinformation, and intellectual property/copyright issues, which we’ll dive into detail in the next section.

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What’s behind the MarTechBot curtain?

Martech

Thanks to Marc Sirkin and the team at MarTech for allowing me behind the curtain of MarTechBot, providing insider access to how it’s being trained, the underlying tech, and the real-time learnings. That experiment demonstrated that training MarTechBot with this site’s content would result in customized answers for marketers.

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A Practical Guide to Using AI in Email Marketing (For the Conscientious Marketer)

Litmus

The most prevalent concerns around AI include: Privacy and surveillance Bias and discrimination Inaccurate data Copyright infringement Plagiarism Data breaches Those are some heavy-hitting issues. Here are some of our team’s practical, no-nonsense guidelines for using AI in email marketing: Vet your vendors.