The Next Generation of AI: Explainable AI

For most businesses, decisions — from creating marketing taglines to which merger or acquisition to approve — are made solely by humans using instinct, expertise, and understanding built through years of experience. However, these decisions were invariably susceptible to the nuances of human nature: decisions included bias, stereotypes and inconsistent influences. And while humans eventually … Continue reading “The Next Generation of AI: Explainable AI”

CIO outlook 2020: Building an explainable AI strategy for your company

Building an AI strategy needs to include explainability for complete visibility into machine-generated decisions. Explainable AI ensures there’s a human present in the loop of the AI process, where the machine provides transparent and reliable explanations, and the human can correct the machine in cases where its decisions are wrong. The sooner such an AI … Continue reading “CIO outlook 2020: Building an explainable AI strategy for your company”

Where is AI headed in 2020?

As we reflect on the closing year, many aspects of the 2019 AI journey stand out. Of note – the explainable AI rocket ship has taken off way faster than we anticipated. This is great news for anyone who cares about building responsible and trustworthy AI. The team at Fiddler is prepping for much more … Continue reading “Where is AI headed in 2020?”

Explainable AI at NeurIPS 2019

The 33rd annual NeurIPS conference has now wrapped up. By the numbers, NeurIPS has become a behemoth, with over 1,400 papers accepted and around 13,000 people registered. The quickly growing field of Explainable AI (XAI) made a noticeable appearance in this multitude of papers and people. Additionally, many papers not geared specifically toward explainability turned … Continue reading “Explainable AI at NeurIPS 2019”

The never-ending issues around AI and bias. Who’s to blame when AI goes wrong?

We’ve seen it before, we’re seeing it again now with the recent Apple and Goldman Sachs alleged credit card bias issue, and we’ll very likely continue seeing it well into 2020 and beyond. Bias in AI is there, it’s usually hidden, (until it comes out), and it needs a foundational fix. This past weekend we … Continue reading “The never-ending issues around AI and bias. Who’s to blame when AI goes wrong?”