I whole-heartedly agree with the author that we need to seriously consider the ethical implications of all this new technology, especially when the window in which someone can “opt-out” of adopting it keeps shrinking. Personally, I’m not interested in owning a self-driving car–I actually like the experience of driving–but eventually, I’m not going to have […]
This author has yet to write their bio.Meanwhile lets just say that we are proud dvschwab contributed a whooping 7 entries.
Entries by dvschwab
Since its inception around the turn of the 20th century, researchers have used classical statistics to analyze data sets. In general, the focus has been on analyzing a sample of the data, then generalizing the findings to the entire population. This was born of necessity, as until very recently, the technology hasn’t existed to allow […]
When I was in graduate school, we debated the merits of a centralized data store that policy makers could use to make better decisions; ultimately, we decided the risks to privacy outweighed the benefits. Data collected by (ethical) businesses is de-identified, typically by assigning each case with an arbitrary number. Government data isn’t, although as […]
Here is an interesting take on the evolving distribution of work between humans and artificial intelligence. We need to begin dealing with AI as an actual form of intelligence, of a different nature than ours, and with its own strengths and weaknesses. True, machines may not actually think (yet), but for specialized tasks such as […]
This article does a good job summarizing why catastrophic software failures are inevitable given our current development practices. There’s an old engineering maxim that once a system becomes sufficiently complex, it will eventually fail no matter how much testing you do. This is why critical systems, such as medical equipment, are designed to “fail safe”. […]
As more and more businesses use machine learning to inform their decisions, I’m often asked whether”off-the-shelf” software can really take the place of custom solutions. To answer this, it’s important to distinguish between software that analyzes the data (e.g. estimates a decision tree, or other machine learning model) and software that attempts to interpret the […]