
Multi-Hyphenate Privacy Professionals: 3 Strategies for Success
When we write about data privacy, it’s easy to default to talking to...
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Why does privacy have an inside track when it comes to setting policy and governing AI in an organization? Why not? Who else in the business survived GDPR readiness and the constantly shifting world of privacy law and lived to tell the tale?
Learn the areas where privacy can lean in on establishing a comprehensive and achievable AI strategy that supports compliance and ethical use while promoting growth and innovation.
Assessing the relationship between data and AI across the business
Developing responsible AI products
Preparing for regulatory compliance and adapting to frequent iterations
Build consumer trust and keep it
Educating users about the risks and responsibilities of using AI
When we write about data privacy, it’s easy to default to talking to “privacy professionals.”
Subject rights requests can be confusing for everybody involved.
In March 2023, Elon Musk and Steve Wozniak, along with other technology experts, signed an open letter asking that training powerful AI models be stopped until stronger AI governance laws could be developed. Two months later, Sam Altman, the CEO of OpenAI (the company behind ChatGPT), testified before Congress on AI risks and urged stronger AI regulations.