10 Things to Include in Your Artificial Intelligence Policy
hr bartender
Estimated reading time: 4 minutes
We’ve been chatting lately about the need for organizations to have artificial intelligence (AI) policies. I recently interviewed my friend and attorney Carrie Cherveny about some of the things that organizations might want to consider including in their policy. I hope you’ll check it out.
In the interview with Carrie, not only does she share her knowledge, but she shared the results of an AI inquiry. What does AI say should be in an AI policy? I want to elaborate on this today by sharing what a couple other AI platforms say should be included in an artificial intelligence policy.I’ve said before that all artificial intelligence tools are not the same, so I asked ChatGPT4o, which was developed by OpenAI, and Gemini, which was developed by Google. Surprisingly, there were many similarities in their responses. Here are the ten things that they agree should be included in an organization’s artificial intelligence policy.
Statement of Purpose and Scope: Clearly define the purpose of the AI policy and the scope of its application. This includes specifying which employees, departments, and AI systems are covered by the policy. Also clarify ownership of AI-generated intellectual property.
Ethical Guidelines: Establish a commitment to ethical AI usage, including beneficence, fairness, transparency, accountability, non-maleficence, and non-discrimination. The policy should ensure that AI systems do not perpetuate bias or harm employees or stakeholders.
Data Privacy and Security: Outline measures to protect the privacy and security of data used by AI systems. This includes compliance with relevant data protection regulations, anonymization practices, and guidelines for data collection, retention, and disposal.
Accountability and Oversight: Designate roles and responsibilities for AI governance within the organization. This includes naming specific individuals or committees responsible for overseeing AI development, usage, and handling any issues that arise.
Bias and Fairness Audits: Establish guidelines for identifying, mitigating, and monitoring bias in AI algorithms and outputs. Require regular audits of AI systems to identify and mitigate biases. The policy should include guidelines for addressing and correcting any unintended discriminatory effects.
Human Oversight: Emphasize the importance of human judgment and decision-making in AI-related processes. Address how AI impacts employees, including their rights to understand, challenge, and opt-out of AI-driven decisions that affect their employment. Ensure that AI is used to augment rather than replace human roles whenever possible.
Transparency and Explainability: Mandate that AI decisions be transparent and explainable to affected individuals. Employees and stakeholders should have access to understandable explanations of how AI decisions are made.
Training and Education: Provide training for employees on the implications of AI, including how it works, its benefits, and its potential risks. Ensures that employees are informed and can engage with AI systems effectively and responsibly.
Compliance with Laws and Regulations: Ensure adherence to relevant data protection, privacy, and employment laws. Establish procedures for reporting and responding to AI-related incidents or breaches. This includes clear guidelines for investigating issues, communicating with affected parties, and taking corrective action. associated with AI and developing mitigation strategies.
Continuous Improvement and Review: Commit to regularly reviewing and updating the AI policy as technology evolves and new challenges emerge. Establish a process for periodically reviewing and updating the AI policy to align with technological advancements and evolving legal and ethical standards. Encourage feedback from employees and stakeholders to continually improve AI practices.
I was very encouraged that ChatGPT4o and Gemini agreed about the considerations for an artificial intelligence policy. Oh sure, they use some different words like ChatGPT called #6 above “employee rights” and Gemini said, “human oversight”, but the content was very much the same.
When we think about activities like pre-employment assessments, we ask ourselves “Are the results valid and reliable?” Valid meaning that the assessment did what it was supposed to do. Reliable meaning that the results would be basically the same if asked again. While this was a totally non-scientific experiment for me, I was pleased to see that the results were related to the question asked (valid) and that multiple artificial intelligence tools are coming to the same conclusions (reliable).
If organizations haven’t already done so, now is the time to start thinking about an AI policy. And if you have one – great! Remember to regularly review and revise it. Artificial intelligence isn’t going away. Organizations today need to have an opinion about how they will use it.
Image captured by Sharlyn Lauby while exploring the streets of Lake Buena Vista, FL
The post 10 Things to Include in Your Artificial Intelligence Policy appeared first on hr bartender.
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23/11/2024 – 06:44 /Sharlyn Lauby
Twitter: @hoffeldtcom
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