Introduction to a 4 Part Series
Let’s suppose your organization (or some part thereof) has decided to take a more principled approach towards the data and/or algorithms it uses by establishing ethics-based ground rules for their use. Maybe this stems from concerns expressed by leadership, legal counsel, shareholders, customers, or employees about potential harms arising from a technology you’re already using or about to use. Maybe it’s because you know companies like Google, Microsoft, and Salesforce have already taken significant steps to incorporate data and AI ethics requirements into their business processes.
Photo by Kelly Sikkema on Unsplash
Regardless of the immediate focus, keep in mind that you probably don’t need to launch the world’s best program on day one (or year one). The bad news is that there is no plug and play, one-size-fits-all solution awaiting you. You and your colleagues will need to begin by understanding where you are now, visualizing where you are headed, and incrementally building a roadway that takes you in the right direction. In fact, it makes sense to start small—like you would when prototyping a new product or line of business—learning and building support systems as you go. Over time, your data and AI ethics program will generate long term benefits, as AI and data ethics increasingly become important for every organization’s good reputation, growth in value, and risk management.
In the following 4 part series about initiating a functional data and AI ethics program we will cover the basic steps you and your team will need to undertake, including:
Part 1: Recruit a Task Force to Build a Data and AI Ethics Program
Part 2: Educate Your Organization About Data and AI Ethics
Part 3: Create a Map of Potential Data and AI Ethics Hot Spots
Part 4: Test Your Data and AI Ethics Program
Next – Part 1: Recruit a Task Force to Build a Data and AI Ethics Program
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