GDPR: big data and AI

Understanding GDPR

Shalini Kurapati, CIPP/E

Co-founder and CEO, Clearbox AI

Overview

Relationship between GDPR, AI, and big data
The risks and opportunities
GDPR's role in safeguarding data and AI ethics
Mapping with current and future regulations

What is AI?

Illustration of an artistic representation of an artificial neural network represented by colorful notes and connectors within a call out shape of a brain.

Software or hardware systems to achieve a specific goal
Physical and digital environments
Data acquisition, processing, and interpretation

¹ EC's High Level Expert Group on AI (AI HLEG)

AI approaches

Machine learning
- Deep learning, artificial neural networks
- Big data processing
Machine Reasoning
- Planning, scheduling
- Search, optimization
Robotics
- Cyber-physical systems - control and perception
- Sensors, actuators
- Integration

Picture of a robot using a tablet

¹ EC's High Level Expert Group on AI (AI HLEG)

How is AI used?

Increase data availability
Harnessing data potential using AI

Typical AI Applications

Targeted product or movie recommendations
Automated CV screening
Virtual assistants

Picture of Netflix home screen

ML: AI systems that learn from data

Learn from data and experience
Composed of algorithms, data, infrastructure and human design
Rise of big data, and powerful computing
Readily available and deployable
Large scale data processing
Profiling
Complex- the blackbox problem

Where does GDPR fit in?

GDPR compliance requirements for AI projects
Large scale data processing
GDPR principles vs. AI:
- Data minimization
- Accountability
- Security
- Requires DPIA
Lawfulness, fairness, and transparency
GDPR doesn't explicitly mention AI, but there are mechanisms

Picture of a laptop with the GDPR icon

Let's practice!

Understanding GDPR