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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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AI ethics: How marketers should embrace innovation responsibly

Sprout Social

Our community discussed several risks including privacy infringement, manipulation of public opinion and autonomous weapons. Watch the video below to hear their hot takes on the benefits and fears of AI, including job replacement: Privacy concerns Concerns surrounding data privacy, protection and security are top of mind for brands.

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The Responsible Approach to Generative AI

Content Standard

While 68% of the execs polled by Gartner believe the benefits of generative AI outweigh the risks, it’s forecasted that trust, security, privacy, and ethical challenges loom on the horizon for many organizations developing and deploying gen-AI solutions.

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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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Generative AI Regulations – What They Could Mean For Your Business

Salesforce Marketing Cloud

“Most countries are just trying to ensure generative AI is subject to existing measures around privacy, transparency, copyright, and accountability,” said Danielle Gilliam-Moore, director, global public policy at Salesforce. Copyright concerns : Because GAI tools pull from vast data sources, the chance of plagiarism increases.

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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.