Privacy and Artificial Intelligence (AI) Assistance Technology
Overview
This document provides clear guidance on the responsible use of artificial intelligence (AI) tools, with a focus on protecting client privacy and complying with data security protocols. AI tools offer many benefits, but safeguarding client privacy is
non-negotiable. Be vigilant, stay informed, and always prioritize secure
handling of confidential information.
Although AI technology (i.e. ChatGPT, Google Gemini, Microsoft Copilot,
or any other content generators) can streamline and enhance many work
tasks, it must be used with great care—especially when dealing with sensitive or client-identifiable information.
Do not use AI-powered writing tools to prepare case notes or any communication involving client identified information. This includes client names, case details, or any protected client data
Do not use AI meeting assistants that automatically record, transcribe, or summarize any meetings where client information is discussed.
There are several critical reasons for not using AI technology when client identifiable information is involved.
🔐 Privacy and Confidentiality Risks
Automatic recordings and transcriptions can capture sensitive, personally identifiable information such as client histories, personal identifiers, health details, or legal matters.
Entering or recording this information via AI tools may expose it to third parties, even if unintentionally.
Many AI tools store data on external servers, often outside your jurisdiction, which increases exposure to unauthorized access or data breaches.
⚖️ Regulatory Non-Compliance
Use of AI meeting assistants may violate laws such as:
HIPAA (Health Insurance Portability and Accountability Act)
42 CFR Part 2 (for substance abuse treatment)
FERPA or other local data protection laws
These tools may lack the required safeguards, data processing agreements, or encryption standards to comply with legal mandates.
🕵️♀️ Loss of Control Over Sensitive Data
AI vendors may store, analyze, or use meeting content for training their models or improving their services.
Even anonymized, residual data can still pose a risk of re-identification.
Organizations can lose direct oversight of where the data goes, who it is shared with, and how long it is retained.
Participants (especially clients) may not be aware their conversations are being recorded and processed by AI.
Failing to obtain explicit, informed consent undermines ethical standards and may erode trust in your organization.
🧾 Risk of Inaccurate or Misleading Notes
AI-generated summaries can:
This is especially dangerous if the case notes are used for decisions, audits, or court proceedings.
Many AI meeting tools are not approved by IT or compliance departments.
They may lack security certifications, data handling controls, or contractual obligations required for handling confidential information.
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