About the eBook
Whether you're new to AI and machine learning or you're at the forefront of the industry, this comprehensive review of machine learning applications in human resource management is a great read. This eBook covers AI learning for beginners and dives into specific ML applications and how to determine the solution that works best for your organisation.
The hype around AI/ML in HR technology is significant and the principles and processes that are needed to ensure ethical outcomes are lagging.
In this paper, we define a set of guiding principles and, most importantly, a set of processes for ethical people business intelligence machine learning. Stewardship should be an immediate conversation within your organisation.
Each of these processes (and sub-processes) is explained in plain, readable language to enable the greatest possible comprehension. We present the information you need in a more digestible format than typical HR research papers.
Overview of Guiding Principles
- People Data for Good
- Human-in-the-Middle
- Value Understanding
Ethical AI/ML Processes Summary:
- Initial Value and Ethics Screening
- In-The-Moment-Evaluation (ITME)
- Model Portfolio Management
- Stakeholder and Issue Management
Who Should Read This?
- Anyone purchasing or managing HR technology
- Data scientists who are building AI/ML in HR
- All HR technology vendors and implementers
- Ethics and governance leaders
- Everyone that is touched by HR technology (i.e., all of us!)