Reasoning About Machine Intuition
Machines are now bettering people at a range of specific intuition tasks. How are they doing this, and what might be next?
What does this mean for the development and governance of intelligent products and services that we access as consumers and citizens, and what are the implications for the organisations that provide them?
We'll cover the impact across the product lifecycle, from customer perception, to product design, technology development, knowledge management, risk and ethics.
You'll leave with a practical overview of a very broad, deep and dynamic topic, and models, tools and approaches to reason about machine intuition today.
Outline/structure of the Session
30 minute talk
Definition of machine intuition and achievements - 5 mins
Future directions - 4 mins
Machine intuition in the product lifecycle:
- Product design - 5 mins
- Technology development - 5 mins
- Knowledge management - 5 mins
- Governance, risk & ethics - 5 mins
Conclusion - 1 minute
Please note each section will include examples and models, tools and approaches that can be practically applied.
Practical overview of a very broad, deep and dynamic topic.
Models, tools and approaches to reason about machine intuition, specifically deep learning.
Anyone involved in data or technology product delivery
No specific prior knowledge required. General experience in data and technology development helpful.