risk

2024

Complex Machinery 003: It's a bot's world, we just live in it


Complex Machinery 002: It's still a wild animal


Complex Machinery 001: Nothing's real but the fakery


Introducing: Complex Machinery / Too much time in the wilderness


Three alternatives to developing a public-facing AI chatbot


2023

Building a training dataset is hard


Grocery bots and chlorine cocktails


The origins of an incident: Knight Capital


Generative AI, APIs, and third-party risk


The always/never tradeoff in data collection


Risk management for AI chatbots


When generated images take on a life of their own


The top failure modes of an ML/AI modeling project (Part 2)


The top failure modes of an ML/AI modeling project (Part 1)


2022

Not All Datasets Are Created Equal


The Top Sources of Risk Facing the AI Sector


Risk Bingo Cards


2021

My take on the Zillow Offers shutdown


New DSS Podcast episode: Uncertainty in AI Product Management


Reducing Risk in Building ML/AI Models


AI-based Automation: Ways to Mix Human and Machine


Handling Risk and the Three Ms


Where Is Your Risk Department?


What is Risk?


Are We In An AI Bubble?


The Lemonade Lesson


2020

Misuse of Models: Recent Facial Recognition Failures


Misuse of Models: IB predicting test scores


Data Lessons from the World of Algorithmic Trading (part 8): "Develop Controls Around Data"


Data Lessons from the World of Algorithmic Trading (part 7): "Monitor Your Risk"


Providing Padding Around ML/AI Models


Data Lessons from the World of Algorithmic Trading (part 6): "Monitor Your Models"


A Risk Assessment for Your ML/AI Job Security


Identifying and Handling Risks in AI Businesses


The ML/AI Reality Check


Why don't we talk more about risk in AI?


2019

Data Ethics for Leaders: A Risk Approach (Part 5)


Data Ethics for Leaders: A Risk Approach (Part 4)


Data Ethics for Leaders: A Risk Approach (Part 3)


Data Ethics for Leaders: A Risk Approach (Part 2)


Data Ethics for Leaders: A Risk Approach (Part 1)