EMANUEL MOSS

Contributed Articles

Tutorial: Ethics in Data-Driven Industries

EMANUEL MOSS CUNY/Data & Society FRIEDERIKE SCHÜÜR Cityblock Health Overview Technology companies have discovered ethics in the wake of public pressure to consider the consequences of their products. This has been prompted by the finding that machine learning and artificial intelligence (ML/AI) systems, as fundamentally pattern-seeking technologies, can and do exacerbate long-term structural inequalities. Companies and employees also struggle with the challenges posed by the dual-use nature of technology. This tutorial will prepare you to understand and contribute to the more ethical development and deployment of ML/AI systems. It covers: An overview of ethical challenges in ML/AI today An introduction to the development of ML/AI systems, designed to give you insight into the reasoning processes and workflows of technical colleagues and how they generally address issues like accuracy and fairness (no quantitative background required!) A overview of current efforts to design more ethical ML/AI systems,...

How Modes of Myth-Making Affect the Particulars of DS/ML Adoption in Industry

EMANUEL MOSS CUNY Graduate Center / Data & Society FRIEDERIKE SCHÜÜR Cloudera Fast Forward Labs The successes of technology companies that rely on data to drive their business hints at the potential of data science and machine learning (DS/ML) to reshape the corporate world. However, despite the headway made by a few notable titans (e.g., Google, Amazon, Apple) and upstarts, the advances that are advertised around DS/ML have yet to be realized on a broader basis. The authors examine the tension between the spectacular image of DS/ML and the realities of applying the latest DS/ML techniques to solve industry problems. The authors discern two distinct ways, or modes, of thinking about DS/ML woven into current marketing and hype. One mode focuses on the spectacular capabilities of DS/ML. It expresses itself through one-off, easy-to-grasp marketable projects, such as DeepMind’s AlphaGo (Zero). The other mode focuses on DS/ML’s potential to transform industry. Hampered by an emphasis on tremendous but as of yet unrealized...