Prabir Purkayastha
30 Jun 2017
Today, algorithms decide who should get a job, which part of a city needs to be developed, who should get into a college, and in the case of a crime, what should be the sentence. It is not super intelligence of robots that is the threat to life as we know it, but machines taking over thousands decisions that are critical to us and deciding social outcomes.
by By KATE CRAWFORDJUNE 25, 2016 "...the very real problems with artificial intelligence today, which may already be exacerbating inequality in the workplace, at home and in our legal and judicial systems. Sexism, racism and other forms of discrimination are being built into the machine-learning algorithms that underlie the technology behind many “intelligent” systems that shape how we are categorized and advertised to."
btw, "intelligence" (as in "CIA") is not intelligence, it's just surveillance, repression and warfare..
I will not believe my son is disordered. What is impaired and disordered is a society where, in order to gain some level of understanding and acceptance of differences, a child has to be considered abnormal.
Operational business intelligence (BI) has a focus on day-to-day operations and so requires low-latency or real-time data to be integrated with historical data. It also requires BI systems that are integrated with operational business processes. However, while operational BI might be part
and parcel of operational processes and systems, the focus is still on changing how people make decisions in an operational context. To compete on decisions, however, you must recognize that your customers react to the choices made by you, your staff and your systems, and that you must manage all the decisions you (or your systems) make – even the
very small ones. This is the basis for enterprise decision management or EDM. Five main areas of difference exist between operational BI and EDM – a focus on decisions (especially operational
ones), organizational integration, analytic technology change, adoption of additional technology and adaptive control.
In this article, I want to outline some steps organizations can take as they move from “traditional” BI towards operational BI and enterprise decision management. Some of these steps would be a good idea if operational BI was your goal. But hopefully you are more ambitious than that and want to really begin to compete on decisions.
S. Straka, M. Koch, A. Carolus, M. Latoschik, and C. Wienrich. Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, New York, NY, USA, Association for Computing Machinery, (2023)
A. Quinn, and B. Bederson. Proceedings of the 2011 annual conference on Human factors in computing systems, page 1403--1412. New York, NY, USA, ACM, (2011)