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Ethics and Bias of Artificial Intelligence and Machine Learning

Introduction to AI Ethics and Bias Understanding the ethical implications of AI Identifying and mitigating biases in AI systems Identifying and mitigating biases in AI systems Ensuring fairness and transparency in AI systems Ethical considerations for decision-making Ethical considerations in the use of AI for surveillance Legal and regulatory issues related to AI ethics and bias Legal and regulatory issues related to AI ethics and bias Summery

NOC Number:

Dr. Saranya Vasanthamani | Author Level 1

What You Will Learn

Course Learning Outcome (CLO):

Students who will complete this course can achieve the following course learning outcomes (CLOs):

  • CLO1: Evaluate the ethical implications of AI in various contexts and identify potential ethical issues that may arise in the development and deployment of AI systems.

  • CLO2: Analyse and identify different types of bias in AI systems, including data bias, algorithmic bias, and user bias, and assess their impact on fairness, transparency, and inclusivity.

  • CLO3: Apply ethical frameworks and guidelines to evaluate the moral and social implications of AI systems and make informed decisions that prioritize ethical considerations.

  • CLO4: Develop strategies to mitigate biases in AI systems and ensure that they are fair, transparent, and inclusive.

  • CLO5: Analyse the impact of AI systems on decision-making processes, identify potential biases and ethical issues, and develop strategies to address them.

  • CLO6: Evaluate the use of AI for surveillance purposes, identify potential ethical issues and concerns, and assess the implications of these systems on privacy and civil liberties.

Keywords:

AI Ethics and Bias

Course Description:

AI Ethics and Bias is a field of study that focuses on the responsible and ethical development and deployment of artificial intelligence systems. This includes identifying and addressing potential biases and ethical issues that may arise in the design, development, and deployment of AI systems. AI Ethics and Bias aims to ensure that AI systems are designed and used in ways that are fair, transparent, accountable, and aligned with ethical and social values. This field involves exploring questions such as how to ensure that AI systems do not perpetuate existing biases and discrimination, how to ensure transparency and explain ability in AI decision-making, and how to ensure that AI systems are aligned with ethical principles such as privacy, autonomy, and human rights.

2 Natural and applied sciences and related occupations
21 Professional occupations in natural and applied sciences
212 Professional occupations in applied sciences (except engineering)
2122 Computer and information systems professionals

The importance of taking NOC courses:

This course is designed to train our students to find jobs in the Canadian labour market using the National Occupational Classification (NOC) and its codes. The Government of Canada developed the NOC to categorize occupational information in the Canadian labour market through a standardized framework and a system that can be easily managed, understood, and unified. Canadian Immigration (i.e., IRCC) uses the NOC to classify jobs and occupations according to specific skill levels. Canada's jobs are ranked according to a person's work and the roles and responsibilities of the job.

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Meet Your Instructor

Instructor
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0 Students
Author Level 1
16 Courses
About Instructor

Prof. Saranya is the Instructor at NSRIC Inc. She is also the Associate Professor in Computer Science Engineering (ENG) at Anna University Colleges. In addition to her current affiliation with NSRIC, she holds freelance faculty positions in some other universities. Prof. Saranya is the founder of Algorithmics Computing Centre in India, She has mentored projects under the Smart India Hackathon for various ministries. She has published journals in reputed articles such as Springer, and many journals indexed by Elsevier. She has also published books in Amazon like Octave by examples, Points to Ponder for Python, and so on. She has also published book chapters about the updating of recent trends by IGI global publishing. In 12 years professional career, Dr, Saranya has Served on academic or administrative committees to deal with institutional policies along with preparing and delivering lectures to undergraduate and graduate students on topics such as programming languages, data structures, networking, software design, AI, Blockchain technologies and so on.

 

Prof. Saranya earned a B.Tech in Information Technology from Anna University, India in 2009, and an M.E in Software Engineering from Anna University in 2011. Dr. Saranya was awarded PhD in Information and Communication Engineering in 2019 and an MBA(Information Systems) degree in 2014 by Bharathiyar University, India.

 

Section Name Lecture Name Lecture Date Lecture Time
(Toronto, Canada - EST Time)
Lecture Time
(Local Time)
Section I (Current) Session 1 Tue-15-Oct-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 2 Fri-18-Oct-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 3 Mon-21-Oct-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 4 Tue-22-Oct-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 5 Fri-25-Oct-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 6 Mon-28-Oct-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 7 Tue-29-Oct-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 8 Fri-01-Nov-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 9 Mon-04-Nov-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 10 Tue-05-Nov-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Section I (Upcoming) Session 1 Tue-19-Nov-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 2 Fri-22-Nov-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 3 Mon-25-Nov-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 4 Tue-26-Nov-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 5 Fri-29-Nov-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 6 Mon-02-Dec-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 7 Tue-03-Dec-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 8 Fri-06-Dec-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 9 Mon-09-Dec-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 10 Tue-10-Dec-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Section I (Previous) Session 1 Tue-09-Jan-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 2 Fri-12-Jan-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 3 Mon-15-Jan-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 4 Tue-16-Jan-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 5 Fri-19-Jan-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 6 Mon-22-Jan-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 7 Tue-23-Jan-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 8 Fri-26-Jan-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 9 Mon-29-Jan-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 10 Tue-30-Jan-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Section I (Previous) Session 1 Tue-13-Feb-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 2 Fri-16-Feb-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 3 Mon-19-Feb-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 4 Tue-20-Feb-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 5 Fri-23-Feb-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 6 Mon-26-Feb-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 7 Tue-27-Feb-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 8 Fri-01-Mar-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 9 Mon-04-Mar-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 10 Tue-05-Mar-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Section I (Previous) Session 1 Tue-19-Mar-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 2 Fri-22-Mar-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 3 Mon-25-Mar-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 4 Tue-26-Mar-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 5 Fri-29-Mar-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 6 Mon-01-Apr-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 7 Tue-02-Apr-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 8 Fri-05-Apr-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 9 Mon-08-Apr-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 10 Tue-09-Apr-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Section I (Previous) Session 1 Tue-23-Apr-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 2 Fri-26-Apr-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 3 Mon-29-Apr-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 4 Tue-30-Apr-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 5 Fri-03-May-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 6 Mon-06-May-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 7 Tue-07-May-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 8 Fri-10-May-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 9 Mon-13-May-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 10 Tue-14-May-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Section I (Previous) Session 1 Tue-28-May-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 2 Fri-31-May-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 3 Mon-03-Jun-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 4 Tue-04-Jun-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 5 Fri-07-Jun-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 6 Mon-10-Jun-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 7 Tue-11-Jun-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 8 Fri-14-Jun-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 9 Mon-17-Jun-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 10 Tue-18-Jun-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Section I (Previous) Session 1 Tue-02-Jul-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 2 Fri-05-Jul-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 3 Mon-08-Jul-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 4 Tue-09-Jul-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 5 Fri-12-Jul-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 6 Mon-15-Jul-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 7 Tue-16-Jul-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 8 Fri-19-Jul-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 9 Mon-22-Jul-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 10 Tue-23-Jul-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Section I (Previous) Session 1 Tue-06-Aug-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 2 Fri-09-Aug-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 3 Mon-12-Aug-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 4 Tue-13-Aug-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 5 Fri-16-Aug-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 6 Mon-19-Aug-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 7 Tue-20-Aug-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 8 Fri-23-Aug-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 9 Mon-26-Aug-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 10 Tue-27-Aug-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Section I (Previous) Session 1 Tue-10-Sep-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 2 Fri-13-Sep-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 3 Mon-16-Sep-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 4 Tue-17-Sep-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 5 Fri-20-Sep-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 6 Mon-23-Sep-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 7 Tue-24-Sep-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 8 Fri-27-Sep-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 9 Mon-30-Sep-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 10 Tue-01-Oct-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
video
  • Course Duration
    13 Hours 0 Minutes
  • Course Level
    Foundation
  • Discipline
    Information and Communication Technology (ICT)
  • Language
    English
This Course Includes
  • 1 Modules
  • 7 Lectures
  • Full Lifetime Access
  • Certificate of Completion