Technology and its use throughout the workplace is evolving in every organization. As HR leaders, we need to take a proactive approach in embracing these changes and understanding new technologies while ensuring sound, legal policies and procedures are in place. We also need to ensure our workforces and organizations embrace ethical approaches to the utilization of new technologies.
Ethical Guidance on Artificial Intelligence in the Workplace
SHRM | Feb 2024
The Workplace Security Risk of ‘Bring Your Own AI’
Ready to Draft an Up-to-Date AI Policy? Target Top Risks
AI in the Workplace: Data Protection Issues (SHRM via Mishcon de Reya)
The AI+HI Project Podcast: Rethinking HR Recruitment: Ethics of AI in Hiring Practices
SHRM
AI and Risk Considerations
AI may be prone to producing something known as “hallucinations.” Hallucinations are incorrect answers that AI generates in response to a prompt, which can mislead a user. AI may produce a comprehensive report with seemingly legitimate citations and sources, but those citations and sources never existed in the first place. This problem is especially prevalent in the academic and scientific field. AI is trained to work with the data it is provided; if that data is false, misleading, or insufficient, AI may fill in the missing pieces of information with erroneous information. When using AI, oversight and doublechecking accuracy is critical. The more comprehensive, relevant, and accurate the data is, the better the results.
What Are the Benefits and Risks of Using Artificial Intelligence in the Workplace?
Halpern & Scrom | May 2024
Ambiguity about the nature of AI-related risks is testing the limits of existing risk management capabilities, especially in the absence of clear and established standards for identifying, understanding, and measuring these risks. While some organizations are adapting existing risk management capabilities (such as data governance, privacy, cybersecurity, ethics, and trust and safety), others are attempting to build new AI-specific capabilities.
AI-Related Risks Test the Limits of Organizational Risk Management
MIT Sloan | Apr 2024
Leakage isn’t the only risk. Many leaders and employees aren’t clear on when generative AI should substitute for human decision-making and when AI should merely augment it. More than 40% of employees said they have seen incorrect generative AI outputs and almost half said they use generative AI-provided facts or recommendations to make decisions without the review of others.
3 ways companies can mitigate the risk of AI in the workplace
Mercer |Jan 2024
10 Steps to Reduce Risks From AI Employment Tools
Cooley | Dec 2023
Ethical Considerations
One of the foremost ethical concerns surrounding AI is data bias. AI systems are only as good as the data they’re trained on, so objective data curation becomes paramount. Thus, developers and researchers must prioritize and standardize rigorous testing and continuous monitoring.
6 Critical – And Urgent – Ethics Issues With AI
Forbes | Jan 2024
Cybersecurity is a major ethical concern for AI-driven firms because these systems often handle sensitive data, making them desirable targets for cyberattacks.
5 Ethical Considerations of AI in Business
Havard Business School | Aug 2024
Transparency and accountability are also important ethical considerations of using AI in business. AI systems can be complex and difficult to understand, which can make it challenging to identify when they are making biased or unfair decisions. Businesses must ensure that their AI systems are transparent and explainable, meaning that the decisions they make can be understood and audited by humans.
The ethical considerations of using AI in business
Medium | Mar 2023
There is no universal, overarching legislation that regulates AI practices, but many countries and states are working to develop and implement them locally. Some pieces of AI regulation are in place today, with many more forthcoming. To fill the gap, ethical frameworks have emerged as part of a collaboration between ethicists and researchers to govern the construction and distribution of AI models within society.
What is AI ethics?
IBM
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An organization run by AI is not a futuristic concept. Such technology is already a part of many workplaces and will continue to shape the labor market and HR. Here's how employers and employees can successfully manage generative AI and other AI-powered systems.
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