1. Overview of data regulations
Let's have a closer look at data regulation and lawfulness.
2. Coming up...
In this chapter, we will discuss key data laws and compliance. Next, we learn more about third-party licensing and the importance of data governance and data management plans.
3. AI Chatbot
Consider a project for an AI-powered chatbot for a dental clinic in Seattle, Washington, in the USA.
It is designed to handle appointment scheduling, provide procedure information, and answer patient inquiries in real-time.
The chatbot will access patient records and provide personalized information, for example, about the next scheduled treatment plan.
How can we ensure legal compliance in this project?
4. Laws and regulations
The short answer is to consult legal counsel or Data Protection Officer, as we should never make these decisions ourselves. But let's look at some laws and regulations that may apply.
Data laws and regulations include data collection, storage, use, and protection policies. Different types of data laws exist, including global, country, and industry-specific ones.
5. Global and country regulations
Global data regulations, like International Human Rights Law, are not legally enforceable and provide guidance only.
Country-specific laws, like the General Data Protection Regulation (GDPR) or California Consumer Privacy Act (CCPA), are enforceable. Their specifics may vary, but they all aim to safeguard personal and sensitive data against misuse and breaches.
6. GDPR & CCPA
GDPR is a fundamental data protection law in the EU, granting individuals control over their data across Europe. It applies to any business handling data of EU residents, irrespective of location, and affords individuals rights over their data, including the right to be forgotten.
The CCPA is similar but specifically safeguards California residents. The main principles of the CCPA include the right to know how data is used, the right to request the deletion of information, the right to opt-out, and the right to non-discrimination.
7. Industry-specific regulation
Industry-specific laws, like the Health Insurance Portability and Accountability Act (HIPAA), address the unique needs and risks of different industry sectors that other regulations may not cover. These regulations are common for heavily regulated industries like healthcare and finance.
For example, in healthcare in the US, HIPAA governs the processing and protection of patient health information. The worldwide guidance of the Basel III accord and Sarbanes-Oxley Act in the US set rules for banking institutions in finance.
8. HIPAA
Let's have a closer look at HIPAA.
HIPAA applies to healthcare providers and businesses that handle protected health information (PHI), any information in a medical record that can be used to identify an individual.
The key principles of HIPAA are based on rules of PHI protection, data minimization and de-identification, security compliance, breach notification requirements, accountability, and auditing for data and model audits. AI companies are often required to have a business associate agreement, which makes them directly responsible for HIPAA compliance.
9. Always seek legal advice!
In all cases, always seek the proper legal counsel to confirm what laws and regulations apply to our AI projects.
AI is evolving at a breakneck pace, with new regulations being introduced worldwide daily to address the challenges and opportunities AI presents. We need to stay updated with the latest news and events and do repeated checks to ensure we remain compliant as the landscape evolves.
10. AI Chatbot
Now, let's go back to our chatbot project.
We speak to a lawyer who has confirmed what laws and regulations apply to our project and jurisdiction.
As an AI developer, it's time to consider these laws to shape the way we design, develop, and deploy the system.
This is where compliance comes in, which we'll discuss next!
11. Let's practice!
For now, it's time for some practice.