Perform a PIA for Your AI Technology
Set your AI project up for success with a privacy impact assessment.
RETIRED CONTENT
Please note that the content on this page is retired. This content is not maintained and may contain information or links that are out of date.The absence of such a PIA can expose an organization to increased privacy and potential data breaches. It can also lead to missed business and growth opportunities. Furthermore:
- Without a PIA, there will be a risk of noncompliance with applicable legal, regulatory, and policy requirements.
- Without a PIA the organization might not fully understand the ethical impacts of AI systems and the alignment necessary between various stakeholders to overcome them.
Adopting Info-Tech’s approach to conduct an AI specific PIA is crucial for identifying and mitigating risks, promoting internal awareness of privacy issues, and gaining a competitive advantage. Additionally:
- A PIA ensures that an AI project is compliant with applicable legal, regulatory, and policy requirements.
- A PIA will demonstrate to stakeholders that the project has been designed with privacy in mind, which can build trust with clients.
- An AI PIA is tailored for AI, encapsulating algorithmic and ethical impact evaluations, and provides an understanding of how to take action to mitigate the risks and reduce harmful impacts.
Book Your Workshop
Onsite Workshops offer an easy way to accelerate your project. If you are unable to do the project yourself, and a Guided Implementation isn’t enough, we offer low-cost onsite delivery of our Project Workshops. We take you through every phase of your project and ensure that you have a road map in place to complete your project successfully.
Module 1: Identify Privacy Drivers for Your Business
The Purpose
- Identify the driving forces behind the privacy program.
- Understand privacy governance.
Key Benefits Achieved
- Privacy requirements documented
| Activities: | Outputs: | |
|---|---|---|
| 1.1 | Understand personal data and the need for a privacy program. |
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| 1.2 | Discuss legal, contractual, and regulatory obligations. |
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| 1.3 | Understand privacy regulation and AI. |
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| 1.4 | Discuss privacy and data protection by design. |
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| 1.5 | Define and document program drivers. |
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Module 2: Evaluate AI Through a Privacy Lens
The Purpose
- Identify the driving forces behind the AI project.
- Understand AI and data governance.
Key Benefits Achieved
- AI and data requirements documented
| Activities: | Outputs: | |
|---|---|---|
| 2.1 | Understand types of AI and its advantages. |
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| 2.2 | Discuss industry applications of AI-powered technologies. |
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| 2.3 | Define and document AI project drivers. |
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| 2.4 | Understanding the importance of data governance for AI. |
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| 2.5 | Discuss privacy-enhancing techniques for AI. |
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Module 3: Assess the Impact of AI Implementation
The Purpose
- Analyze risk thresholds for the project and technology.
- Evaluate risk scenarios to formulate remediation plan.
Key Benefits Achieved
- Threshold analysis documented
- Privacy impact assessment and report completed
| Activities: | Outputs: | |
|---|---|---|
| 3.1 | Conduct threshold analysis for AI project. |
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| 3.2 | Document details of AI governance framework, technical and business requirements, and testing methods. |
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| 3.3 | Document details of data governance structure for the AI system. |
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| 3.4 | Document privacy practices pertaining to the AI project. |
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Module 4: Report the Impact of AI Implementation
The Purpose
- Document risks mitigation actions.
- Assign ownership and timeline to completion.
Key Benefits Achieved
- Privacy impact assessment report completed
- Identified risks remediated and/or mitigated to an acceptable level
| Activities: | Outputs: | |
|---|---|---|
| 4.1 | Document details of supply chain environments. |
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| 4.2 | Document security practices pertaining to the AI project. |
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| 4.3 | Identify potential risks and propose potential mitigation. |
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| 4.4 | Prepare PIA report. |
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| 4.5 | Debrief. |
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