When non-profits engage with artificial intelligence (AI) and related topics, there are several key legal areas they should be aware of to ensure ethical and compliant use of AI technology:
- Data Privacy and Security: AI often relies on large datasets, and non-profits must comply with data protection laws to ensure the privacy and security of personal information collected and used for AI applications.
- Informed Consent: Non-profits using AI to collect, analyze, or process personal data should obtain informed consent from individuals, explaining how their data will be used and for what purposes.
- Bias and Fairness: AI algorithms can perpetuate biases present in the data used to train them. Non-profits must be mindful of potential bias in AI systems, especially when they impact vulnerable or underrepresented groups.
- Intellectual Property Rights: Non-profits should consider the ownership and licensing of AI technologies, data, and algorithms to avoid disputes over intellectual property rights.
- Liability and Accountability: When AI decisions have significant consequences, non-profits need to determine who is responsible for the actions and decisions made by AI systems.
- Ethical Use of AI: Adopting ethical AI principles is crucial for non-profits to ensure their AI applications align with their mission and values, particularly when using AI in areas like social services or healthcare.
- Transparency and Explainability: Non-profits should strive to make AI decisions transparent and explainable to users and stakeholders, especially when AI impacts their rights or well-being.
- Regulatory Compliance: Depending on the jurisdiction and application, AI may be subject to specific regulations or industry standards that non-profits must adhere to.
- Procurement and Vendor Relationships: When partnering with AI vendors or adopting third-party AI solutions, non-profits should ensure compliance with legal obligations and ethical considerations.
- Employment and Labor Law: AI implementation may impact the workforce, and non-profits should be mindful of labor laws when using AI in recruitment, performance evaluation, or employee management.
- Risk Management: Non-profits should assess and manage potential risks associated with AI, such as system failures, security breaches, or unintended consequences.
- Data Governance: Establishing robust data governance policies is essential to handle data used in AI applications responsibly and securely.
Engaging with legal experts and AI ethicists can help non-profits navigate these complex legal areas, ensuring responsible and beneficial use of AI technology while remaining aligned with their organizational missions and values. For a consultation, message Jacqueline Cooper, JD at [email protected]