Executive Briefing: Fear and loathing in explainability and transparencyA savage journey to the heart of AI

Jana Eggers explores explainability and transparency as both required and unachievable goals for AI, with a focus on helping teams structure discussions about levels of explainability possible and needed for both user trust and regulatory requirements.

Explainability and transparency are often presented as goals like “Don’t be evil.” But really, who wants to be confusing and obfuscating? The challenge is that these goals are often harder to define and deliver when dealing with technology that has black-box tendencies like AI or with data so big our brains can’t see the traps hidden inside. Jana Eggers explores explainability and transparency as both required and unachievable goals for AI. This talk is designed to give you and your teams the tools to approach the question of transparency and explainability with your use case, data, and algorithm in mind, so you can feel confident that you will build trust with your users and satisfy regulatory concerns.