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risk
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)