The prevalence of attributing human traits to Artificial Intelligence-Systems in efforts to describe its capabilities and use-cases does not adequately represent the technology in a sufficient way to allow for decision makers to fully engage with the ethical questions they are accountable for. Nor does this anthropomorphization effectively communicate the risk and liability involved with AI-Systems. This report argues that the way we use language to express AI-Systems use-cases and capabilities plays an important role for decision makers to be able to have the leadership agency they need to make important decisions on a technology that will have wide-spread implications, opportunities and consequences for their organization and for others outside it. The following pages dissect the most commonly ascribed human traits to AI-Systems and with an intent to de-couple them from technological capabilities in efforts to reduce ambiguity. The hope is that this document will assist decision-makers, legal counsel and those who support them to be more empowered in their conversations about AI-Systems with technologists.

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6. 1. Starting wi th data.

7. 2. Algorithmic Purpose.
3. Algorithmic Development.

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