Ethical Algorithms – Human Computer Interaction and Machine Learning in Artificial Intelligence

Speaker: Yetunde Adediran MSc MIET

Machine learning is an increasingly important aspect of Artificial Intelligence (AI) within the ethics of algorithms, specifically ethics that concern the ‘artificial moral’ behaviour of machines and computers.  This seminar will demonstrate and list five existing intelligent AI solutions that are employed today.

Yetunde will show how they Implemented AI solutions that demonstrate best practices to create technology in computers and machines that are ethical, and analyse algorithms that humans use when they make ‘logical reasonings’.

Yetunde goes on to demonstrate how we can integrate these approaches with human computer interaction containing extensive knowledge about the human ‘world’. Captured algorithms that demonstrate examples of ethical algorithms using a combination of machine learning tools will also be covered, with the speaker demonstrating their desire to provide machines that are ethical and Intelligent.

Yetunde will cover simple example of how these can be applied. For instance, in video games, we can design AI that could discover how to ethically identify how a person with rheumatoid arthritis compared with a person without arthritis, with different age range and gender. Here, a more ethical game could commence with, for example, allowing the arthritis player to start with five points while the non-arthritis player starts with zero. This will enable a balance and fair play between these two players and in making ethical decisions.

In general, the purpose is to create a model by using the most appropriate machine learning algorithm to remove bias and develop suitable approaches of teaching machines and computers to learn from that data. This will allow them to make better decisions through human computer-interaction. This will eventually allow computers and machines to behave intelligently, safely and ethically enabling them to have their own decision-making abilities.