Are Algorithms Influencing Your Business?

As algorithms become increasingly embedded in business — and in life — researchers ask a series of provocative questions meant to spark discussion about their use in research, policy and practice.

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How does data inform business processes, offerings, and engagement with customers? This research looks at trends in the use of analytics, the evolution of analytics strategy, optimal team composition, and new opportunities for data-driven innovation.
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The growing importance of algorithms to business and society is a little-discussed feature of our increasingly digital world. These algorithms are the underpinnings of NSA surveillance, online search engines, corporate security, modern matchmaking and many other activities in both the private and public sector. These algorithms can be a source of competitive advantage (think Google), play an operational role or drive marketing. Just what are algorithms, how are they used, and what happens when influential algorithms go wrong?

Wikipedia and Merriam-Webster define an algorithm as a step-by-step procedure for calculations, data processing and automated reasoning, expressed as a finite list of instructions that result in an outcome.

In a recent paper, Governing Algorithms: A Provocation Piece, three New York University researchers — Solon Barocas, Sophie Hood and Malte Ziewitz — explore how algorithms are influencing research, policy and practice by raising more than three dozen thought-provoking questions, including:

  • How do algorithms change existing networks of accountability? By portraying [algorithms] as autonomous decision-makers, their operators can defer accountability. Where should accountability lie when an algorithm goes awry, and how could this accountability be engineered?
  • Should algorithms be subject to more or less scrutiny in different contexts, such as high-frequency trading, predictive policing, retail marketing, political campaigns, and medical diagnosis?

The issue of algorithm-related accountability is less esoteric than you might think. In a 2012 Limn article, Cornell University researcher Tarleton Gillespie explores the controversy over Twitter Trends and the “algorithmic ‘censorship’ of #occupywallstreet.”

As Gillespie explains, Twitter Trends is a simple list of 10 terms provided by Twitter on its homepage. The algorithm behind Trends digests the 250 million tweets every day and indexes the most vigorously discussed terms, either globally or for a user’s chosen country or city.

The issue with Occupy Wall Street, according to Gillespie, was that “even as the protests were gaining strength and media coverage, and talk of the movement on Twitter was surging, the term was not ‘Trending.’ Even in cities where protests were occurring and tweets spiked, the term didn’t trend.” This omission led some to suggest that Twitter was deliberately dropping the term from its Trending list.

Topics

Competing With Data & Analytics

How does data inform business processes, offerings, and engagement with customers? This research looks at trends in the use of analytics, the evolution of analytics strategy, optimal team composition, and new opportunities for data-driven innovation.
More in this series

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Comment (1)
Paul konnersman
The problem is real and important. The solution is straight-forward. 

Computer error has been widely, and very often wrongly alleged  since the advent of the digital computer. When the computer, often  justifiably, was not seen as accountable, the error was charged to programming. But when the error is in an algorithm supplied the programer, it is the person who supplied and vouched for the algorithm who should be held accountable.

Unfortunately, even as complex algorithms become ubiquitous, organizations do not clearly identify an individual who is responsible for the continuing appropriateness of each algorithm buried in their processes.

An algorithm is simply a way of making a decision. for over 20 years I have urged my clients to identify the decisions they make and make a single individual responsible. I have called that role the "decision manager," to emphasize that the responsibilities of the "decison manager" go well beyond those commonly associated with the notion a "decision maker."

Paul Konnersman