Human Computer Interaction and Machine Learning in Artificial Intelligence
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.
The speaker 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’.
The speaker 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.
The speaker 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.
Continuing Professional Development
This event can contribute towards your Continuing Professional Development (CPD) hours as part of the IET's CPD monitoring scheme.
13 Nov 2019
5:30pm - 7:45pm
Scotland South West Local Network
This is a free event and is open to both members and non members of the IET.
Those interested in attending, please follow the registration link:
Yetunde Adediran MSc MIET
Freelance Software Engineer
Yetunde Adediran is a Software Engineer and educator, with previous experience as founder, mechanical engineer (within the manufacturing engineering industry).
Yetunde has an engineering degree from Brunel University, and a Masters degree in Software Engineering from the University of Oxford. She is a member of the IET and a science and technology advocate. Since graduating from Oxford, she has gained over 15-years technology experience working as a freelance software engineer for a number of corporate firms, including ICL (now Fujitsu), Vodafone, BT and Accenture. She is a pioneer, after being one of the first to work on a Bluetooth device in 2001 while based at TDK in north London. Yetunde has also written a number of science policy papers and contributed to the Westminster Higher Education forum.
Her social enterprise experience using technology & design has led her to successfully create OpenVirtualSTEM™ (formerly known as Open Engineering Solutions). OpenVirtualSTEM™ is a community science project aimed at reaching out to more young people interested in Science & Engineering, particularly young females.
She is currently working on a programming book to highlight the lack of good quality books in education that can be used to assist younger people who want to learn industry techniques.
Reasons to attend
A chance to learn about the ethics of Artificial Intelligence.
The Technology and Innovation Centre, University of Strathclyde
17:30 - 17:55 Registration and networking - Tea/coffee and refreshments will be served
17:55 - 18:00 Time for audience to get seated
18:00 - 18:05 Welcome and Speaker Introduction
18:05 - 19:00 Lecture: Ethical Algorithms
19:00 - 19:30 Q&A
19:30 - 19:35 Vote of thanks
19:40 Event ends
Please hit the "register" button