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This week is another layer of myth-busting. Great management comes from anticipating the worst case while preparing to execute the best. Our droning-on about the risks of AI is the best way I know to get you ready for the inevitable. AI (and its subset technologies) is entering your world faster than you can see. It requires new ways of thinking and managing.

We have a discussion of ending bias with AI (unlikely), the hard issues in language translation (even i=your own language is hard to understand), how to use AI Maliciously (with an exposé of hacking risks), the best ways to extract value from AI, and a guide to API integrations. 

Is your head popping?

John Sumser will be presenting on Wednesday, May 2, 2018 at the O’Reilly AI Conference in New York City taking place between April 30 – May 2, 2018.

Big Picture
  • Now Is The Time To Act To End Bias In AI. Breathy analysis from Fast Company. The idea that bias can (or should) be removed from decision making is unrefined nonsense. There are specific types of bias that are legally required to be eliminated. There are other forms of bias that are not yet illegal but should be. But, bias is the fundamental definition of culture and fit. Part of the problem illuminated by this piece (but never mentioned) is that the technologists are in way, way, over their heads. AI is not like the software that preceded it.


HR’s View


  • Maximizing Value from AI. In 11 short steps. Simple. Useful. How to get started and keep it going.
  • The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation. Once you head down the machine learning path, you need to be prepared for new forms of hacking. Currently, little effort is being made to ensure that AI projects are not sources of vulnerability. Hacked AI can result in anything from bad recommendations to backdoors to otherwise secure systems. File this under ‘Things We Don’t Really Understand Yet.’



Quote of the Week

“Artificial intelligence and machine learning capabilities are growing at an unprecedented rate. These technologies have many widely beneficial applications, ranging from machine translation to medical image analysis. Countless more such applications are being developed and can be expected over the long term. Less attention has historically been paid to the ways in which artificial intelligence can be used maliciously. This report surveys the landscape of potential security threats from malicious uses of artificial intelligence technologies, and proposes ways to better forecast, prevent, and mitigate these threats. We analyze, but do not conclusively resolve, the question of what the long-term equilibrium between attackers and defenders will be. We focus instead on what sorts of attacks we are likely to see soon if adequate defenses are not developed.”



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 means 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 a few critical links with some explanation. The goal is to give you a way to surf the rapidly evolving field without drowning in information. We offer a timeless curation of the intersection of HR and the machines that serve it. We curate the emergence of Machine Led Decision Making in HR. 

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