Big Picture
- How do you draw a circle? We analyzed 100,000 drawings to show how culture shapes our instincts. The current definitions of culture that float through discussions on AI/ML and HR are primitive and overly simplistic. As is our idea of what informs bias. Simple forms of expression give extraordinary clues. Our filters need to grow to include thse things.
- Warehouses Promise Jobs, But What Happens When the Robots Come? A look at the impact n the local economy when an Amazon fulfillment center opens. A look at human-robot collaboration.
HR’s View
- Lessons from 3,000 technical interviews… or how what you do after graduation matters way more than where you went to school As usual, Hung Lee’s On Hiring newsletter is the source for a great look at the relevance of resumes. It’s a long but worthwhile read, particularly if you are thinking about what matters when applying Machine Learning to a stack of resumes.
Execution
- Developers Who Use Spaces Make More Money Than Those Who Use Tabs. If you want to save money, hire the best developer who uses tabs. This is the sort of intelligence that can be used to tweak out increments of performance difference. It’s a harbinger of tools that predict performance and base hiring salary recommendations on that performance. Imagine a Zillow for resumes. Here’s how it starts.
- Robots are doing the work of $326,000-a-year Goldman Sachs employees. Can I get a “Yes, but”? Repeatable tasks are easy. Real multivariate decision making not so much. But, Buzzfeed style headlines certainly grab your attention.
Tutorial
- Burned by the bots: Why robotic automation is stumbling. From Mckinsey. Key insights. 1. A bot is just a tool. 2. Understand the whole problem before automating. 3. Understand the systems integration issues and monitor them. 4. Treat employees as problems solvers.
- Machine learning algorithm cheat sheet. via Steve Levy. Designed to get you started.
Quote of the Week.
- Installing thousands of bots has taken a lot longer and is more complex than most had hoped it would be. It might sound simple to pull a salary statement, but what if for that worker the data is in unstructured formats? What if the worker goes on maternity leave and a different set of systems kicks in? What if … Said differently, a ‘standard process’ can often turn out to have many permutations, and programming bots to cover all of them can be confounding.
- Not unlike humans, thousands of bots need care and attention—in the form of maintenance, upgrades, and cybersecurity protocols, introducing additional costs and demanding ongoing focus for executives.
- The platforms on which the bots interact (or handshake) often change, and the necessary flexibility isn’t always configured into the bot. Installing thousands of bots introduces an additional architecture layer into the system requiring more bespoke governance and oversight by the IT organization, which is often already burdened with maintaining legacy systems.
About
Curate means a variety of things: from the work of vicar entrusted with the care of souls to that of an exhibit designer responsible for clarity and meaning. At the core, it seems to mean something about the importance of empathy in organization. HRIntelligencer is an update on the comings and goings in the Human Resource experiment with Artificial Intelligence, Digital Employees, Algorithms, Machine Learning, Big Data and all of that stuff. We present 8 to 10 links with some explanation. The goal is to give you a way to surf the rapidly evolving field without drowning in information.
