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Securing Care in the AI Era
Summary
In this conversation, Erika Miley, PhD LMHC CST and Aaron Miley discuss the intersection of AI, cybersecurity, and healthcare. They explore the implications of AI tools in therapy, the importance of understanding large language models, and the risks associated with using these technologies without proper oversight. The discussion emphasizes the need for healthcare providers to be aware of data privacy, security practices, and the ethical considerations of using AI in clinical settings. Practical steps for providers to enhance their cybersecurity measures and protect their clients are also highlighted.
Takeaways
AI is not a hacker but a tool used by threat actors.
Large language models (LLMs) are not true AI; they process patterns.
Healthcare providers must be cautious with AI tools.
Data privacy is crucial when using AI in healthcare.
Providers should never input personal health information into public AI tools.
Understanding the terms of service is essential for data security.
AI can supplement but not replace human intuition in therapy.
Cybersecurity training is vital for healthcare providers.
Providers should use strong passwords and multi-factor authentication.
Regularly backing up data is essential for security.
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By twoxlabsSummary
In this conversation, Erika Miley, PhD LMHC CST and Aaron Miley discuss the intersection of AI, cybersecurity, and healthcare. They explore the implications of AI tools in therapy, the importance of understanding large language models, and the risks associated with using these technologies without proper oversight. The discussion emphasizes the need for healthcare providers to be aware of data privacy, security practices, and the ethical considerations of using AI in clinical settings. Practical steps for providers to enhance their cybersecurity measures and protect their clients are also highlighted.
Takeaways
AI is not a hacker but a tool used by threat actors.
Large language models (LLMs) are not true AI; they process patterns.
Healthcare providers must be cautious with AI tools.
Data privacy is crucial when using AI in healthcare.
Providers should never input personal health information into public AI tools.
Understanding the terms of service is essential for data security.
AI can supplement but not replace human intuition in therapy.
Cybersecurity training is vital for healthcare providers.
Providers should use strong passwords and multi-factor authentication.
Regularly backing up data is essential for security.