Auto AI: Resolving Intellectual Debt in Complex Systems
Neil D. Lawrence
The Turing Presents: AI UK
The Great AI Fallacy
Embodiment Factors
Machine Learning
- Driver of two different domains:
- Data Science: arises from the fact that we now capture data by happenstance.
- Artificial Intelligence: emulation of human behaviour.
- Connection: Internet of Things
Machine Learning
- Driver of two different domains:
- Data Science: arises from the fact that we now capture data by happenstance.
- Artificial Intelligence: emulation of human behaviour.
- Connection: Internet of
Things
Machine Learning
- Driver of two different domains:
- Data Science: arises from the fact that we now capture data by happenstance.
- Artificial Intelligence: emulation of human behaviour.
- Connection: Internet of People
Convention for the Protection of Individuals with regard to Automatic Processing of Personal Data (1981/1/28)
What does Machine Learning do?
- ML Automates through Data
- Strongly related to statistics.
- Field underpins revolution in data science and AI
- With AI:
- logic, robotics, computer vision, speech
- With Data Science:
- databases, data mining, statistics, visualization
Buying System
Monolithic System
Service Oriented Architecture
Buying …
… to Banking
Question Mark Emails
Intellectual Debt
FIT Models to FIT Systems
- Focus in machine learning has been on FAcT learning.
- Fairness, accountability and Transparency in individual models.
- But individual models aren’t the problem.
- Fariness, interpetability and transparency required for whole system.
Convention for the Protection of Individuals with regard to Automatic Processing of Personal Data (1981/1/28)
How GDPR May Help
- Reflection on data eco-systems.
- GDPR: Good Data Practice Rules
- When viewed as best practice rather than regulation they hightlight problems in data ecosystems.
Statistical Emulation
Emulation
Emulation
Emulation
Emulation
Emulation
Deep Emulation
Deep Emulation
Deep Emulation
Deep Emulation
