Data and AI Ethics Foundations

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Digital Skills Company

2:45:43

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1. Course Introduction

1. Welcome.mp4

01:04

2. Introduction to the course.mp4

02:28

3. About the Instructor.mp4

01:58

2. The Fundamentals Data Ethics

1. Introduction to Data and AI Ethics.mp4

03:26

2. Data Ethics Foundational Concepts.mp4

09:54

3. Moral dilemma scenarios from MiTs Moral Machine.html

4. Knowledge Check Data Ethics Foundational Concepts.html

3. The Fundamentals Data

1. Data Primer Data sources & Types.mp4

11:49

2.1 If you share data, use ODIs Data Spectrum classification and develop a data spectrum for your domain or the data you use.html

2. Data Primer Data Classification.mp4

09:06

3.1 Review the article which is a compilation of how much data is generated by using the Internet, Social Media, alone daily.html

3.2 Use learning material to understand in detail about data sharing.html

3. Data Primer Data Lifecycle.mp4

15:49

4.1 Real-world applications of AI.html

4.2 The interdependency between developments in AI and data is explained in this Forbes article.html

4.3 To understand more about AI, ML and Data Science, please review the article.html

4. Data Primer Data Analytics & AI.mp4

13:54

5.1 To understand a more about Industry 4.0.html

5. Data Primer Enabling AI & Industry 4.0.mp4

06:36

6. Knowledge Check Data Primer.html

4. Why is Data Ethics important

1.1 10 Examples of using AI for good.html

1.2 Explore further on advanced analytics.html

1. Importance of Data Ethics Positive Impacts.mp4

07:11

2.1 AI generated interview.html

2.2 Amazon recruitment tool.html

2.3 Facebooks Targeting Technology.html

2.4 FTCs Settlement with Flo Health Inc..html

2.5 ICO UK vs Clearview AI Inc..html

2.6 Mental Health Service Koko.html

2.7 Pokemon Go.html

2.8 Public Health England, UK.html

2. Importance of Data Ethics Negative Impacts.mp4

12:22

3. Knowledge Check Importance of Data Ethics.html

5. What are Data Ethics Principles

1.1 Read and Reflect on the SUM Values from Alan Turing Institute.html

1. Data Ethics Principles Introduction.mp4

02:34

2.1 Compare the data protection laws.html

2.2 DLA Pipers Data Protection Laws of the World.html

2.3 Read the publication from Harvard and reflect on what principles might be relevant to your organisation.html

2.4 Review the data protection legislations worldwide Compare and contrast how this relates to your country or state.html

2. Data Ethics Principles Guiding, Qualitative and Governing.mp4

13:20

3.1 UK Legislative Context.html

3. Data Ethics Principles Legislative Context.mp4

07:33

6. How to ethically evaluate data practices

1. Data Ethics Evaluation Introduction.mp4

02:21

2.1 Checklist for Data Science Teams Dataethics.eu.html

2.2 Checklist for Data Science Teams Driven Data.html

2.3 Data Ethics Checklist for Beginners.pdf

2. Data Ethics Evaluation Checklist Approach.mp4

11:48

3.1 Consequence Scanning Process from Doteveryone.html

3. Data Ethics Evaluation Consequence Scanning.mp4

02:33

4.1 Data Ethics Canvas Developed by the Open Data Institute.html

4.2 Data Ethics Framework Developed by the UK Government Digital Service.html

4.3 Systemic Data ethics framework.html

4. Data Ethics Evaluation Adopt a Framework Approach.mp4

10:18

7. How to develop and implement Data Ethics in an organisation

1.1 eXplainability Toolbox.html

1.2 Microsoft Fairlearn.html

1. Developing a custom Data Ethics Framework.mp4

12:54

2. Implementing Data Ethics is an organisation.mp4

06:45

Description

Data ethics, AI Ethics, Data Ethics Principles, Developing Data Ethics Framework

What You'll Learn?

Gain a solid understanding of the foundational concepts of Data and AI Ethics
Explore the fundamental concepts of Data, Data Practices, and AI from an ethical perspective and learn how to apply them in your work
Understand the significance of Data and AI Ethics through real-world case studies and evaluations
Delve into the Data Ethics principles and the legislative context
Familiarise yourself with Data Ethics frameworks and learn how to assess your data practices against them
Develop the skills to create your own data ethics framework and seamlessly embed it into your organisation

Who is this for?

Business Leaders, Policy makers

Data Governance professional, Data Managers, Data Practitioners

Product Owners, Project Managers, Product Designers, Product Developers

Change Directors, Change Managers, Portfolio Managers

Business Analysts, Team Leads

Data Analysts, Data Scientists, Data Engineer, Machine Learning Engineer, Data Consumers

Data and AI Enthusiasts

AI Professionals

What You Need to Know?

Some understanding of data, knowledge of data practices and data uses will be helpful, but not mandatory

Open mind

Critical thinking

Reasoning and evaluation

More details

Description
Course Overview:
Our Data and AI Ethics Foundations course is meticulously crafted to provide you with the essential knowledge and skills required to navigate the ethical landscape of data and artificial intelligence. Whether you're a business leader, a seasoned professional, just starting your journey in this field or an AI ethics enthusiast, this course is designed to cater to a diverse audience, guiding you from theory to practical application.

Why Choose Our Course?
With a blend of engaging exercises, valuable resources, and clear signposts, this course ensures you grasp the theoretical foundations and gain practical insights to apply immediately in your professional endeavours.
Ethical considerations in data and AI are more crucial than ever, and this course will empower you to make informed decisions, uphold ethical standards, and contribute positively to your organisationâ€™s success.
Join us on this enlightening journey towards ethical data and AI practices. Enrol now and be a part of a community dedicated to creating a better, more ethical future in data and artificial intelligence.
Our comprehensive course is structured into multiple sections, each thoughtfully designed to enhance your learning experience. Each lecture has engaging video content, featuring detailed explanations using slides, interactive exercises, and knowledge check quizzes to reinforce your understanding.

Key Highlights:
Explore Reference Materials: Dive deeper into each concept by delving into our carefully curated reference materials.
Hands-On Exercises: Gain practical insights and master applying these concepts through a series of hands-on exercises.
Knowledge Check Quizzes: Test your comprehension and ensure your grasp of the concepts with our knowledge check quizzes.
Completion Certificate: Upon successfully completing the course, you will be awarded a prestigious completion certificate to showcase your newfound expertise. Join us on this educational journey today!
See you in class!
Who this course is for:
Business Leaders, Policy makers
Data Governance professional, Data Managers, Data Practitioners
Product Owners, Project Managers, Product Designers, Product Developers
Change Directors, Change Managers, Portfolio Managers
Business Analysts, Team Leads
Data Analysts, Data Scientists, Data Engineer, Machine Learning Engineer, Data Consumers
Data and AI Enthusiasts
AI Professionals

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