Published Jul 9, 2018

Data management, regulation, the future of AI

Chris Benson and Daniel Whitenack dive into the crossroads of AI and law with experts Andrew Burt and Matthew Carroll from Immuta, tackling AI regulation, GDPR compliance, and ethical data management. They highlight the critical collaboration between legal teams and data scientists to manage risks and biases, ensuring responsible AI adoption and innovation.

Episode Highlights

Topics covered

Episode Highlights

Related Episodes

Data for All
Answers 383 questions
Data science for intuitive user experiences
Answers 383 questions
Privacy in the age of AI
Answers 383 questions
Behavioral economics and AI-driven decision making
Answers 383 questions
Using edge models to find sensitive data
Answers 383 questions
Government use of facial recognition and AI at Google
Answers 383 questions
Government regulation of AI has arrived
Answers 383 questions
Generative models: exploration to deployment
Answers 383 questions
AI trailblazers putting people first
Answers 383 questions
Analyzing the 2021 AI Index Report
Answers 383 questions
Fighting bias in AI (and in hiring)
Answers 383 questions
Only as good as the data
Answers 383 questions
On being humAIn
Answers 383 questions
Engaging with governments on AI for good
Answers 383 questions
Creating instruction tuned models
Answers 383 questions

Dexa/Practical AI

Data management, regulation, the future of AI

Topics covered

Popular Clips

Practical AI Regulation

Practical Steps for Responsible Data Science

Impactful Industries

Optimizing Data Engineering

Data Science Documentation

The Impact of GDPR

Ethical Challenges

Building Ethical AI

Law and Data Science

Making Models Explainable

Practical AI Insights

Managing Risk in Machine Learning

AI Regulation Landscape

GDPR Regulation Insights

Episode Highlights

Intersection of Law and AI

AI Regulation Challenges

Ethical Data Management

Related Episodes

Data for All

Data science for intuitive user experiences

Privacy in the age of AI

Behavioral economics and AI-driven decision making

Using edge models to find sensitive data

Government use of facial recognition and AI at Google

Government regulation of AI has arrived

Generative models: exploration to deployment

AI trailblazers putting people first

Analyzing the 2021 AI Index Report

Fighting bias in AI (and in hiring)

Only as good as the data

On being humAIn

Engaging with governments on AI for good

Creating instruction tuned models

Data management, regulation, the future of AI

Topics covered

Popular Clips

Episode Highlights

Intersection of Law and AIThe discussion shifts to the role of legal engineers in AI, focusing on compliance and risk management. Andrew Burt and Matthew Carroll explore how bridging the gap between legal teams and data scientists can enhance AI operations.

Intersection of Law and AI

AI Regulation ChallengesMatthew Carroll and Andrew Burt from Immuta discuss the complexities of GDPR and its implications for data management and AI regulation. They explore how this comprehensive framework impacts various industries and the challenges it poses for data scientists.

AI Regulation Challenges

Ethical Data Management

Related Episodes