Artificial Intelligence is a powerful technology that will shape the future of our world like no other technology before. Yet, with great power comes great responsibility.
At The Good AI, we are convinced that AI can help accelerate progress towards the Sustainable Development Goals. However, this must go hand in hand with a responsible and trustworthy approach to AI that addresses concerns such as privacy, surveillance, biases, and discrimination, disinformation, job losses or lack of control over automated systems.
To help you navigate through the challenging world of responsible AI, we’ve compiled a list of some of the best free courses available in 2021.
These courses are targeting a range of different audiences. Maybe you want to learn about ethics in AI at large, explore the effects of bias in machine learning, focus on AI governance from an executive point of view or dive into privacy-preserving AI technologies. Whatever you need to expand your skills in this area, there’s a good chance you’ll find the right course for you.
What you will learn:
- Describe the importance of engaging with AI in a responsible manner.
- Identify six guiding principles to develop and use AI responsibly
- Describe different approaches to responsible AI governance from experienced executives.
Audience: Functional Consultant, Business User
Lenght: 1 hour
Level required: Beginner
What you will learn:
- Understand the impacts of data misuse, including unjust bias, surveillance, disinformation, and feedback loops. Understand the contributing factors to these impacts. Identify different types of bias.
- Develop literacy in investigating how data and data-powered algorithms shape, constrain, and manipulate our commercial, civic, and personal experiences.
- Analyze new scenarios and potential products to try to identify and mitigate potential risks.
- Have a toolkit of ethical techniques and practices to implement in their workplaces
Audience: Everyone
Lenght: 6-7 hours
Level required: Beginner
What you will learn:
- Understand and articulate the critical, social, legal, political and ethical issues arising throughout the data lifecycle.
- Understand relevant concepts, including: ethics/morality, responsibility, digital rights, data governance, human-data interaction, responsible research and innovation.
- Apply professional critical judgement and reflexivity to moral problems with no clear solutions.
- Evaluate ethical issues you face in your current professional practice.
- Identify and apply ethically driven solutions to those issues.
Audience: Students
Lenght: 7 weeks, 2-3 hours per week
Level required: Intermediate
N.B : You have to enroll before Feb 22, 2021
What you will learn :
- Understanding bias and discrimination in all its aspects
- Exploring the harmful effects of bias in machine learning (discriminatory effects of algorithmic decision-making)
- Identifying the sources of bias and discrimination in machine learning
- Mitigating bias in machine learning (strategies for addressing bias)
- Recommendations to guide the ethical development and evaluation of algorithms
Audience: Students, Everyone
Lenght: 4 weeks, 4-6 hours per week
Level required: Intermediate
What you will learn:
- Skills and knowledge necessary to thrive in and positively contribute to a society where AI and automation are increasingly a part of every industry.
- What are the potential benefits and risks of using AI in various contexts? How do these uses affect people, both individually and in communities?
- How are individuals, industries, and governments using AI today?
- How does AI work (in plain English)? What is the relationship between data, models, and outcomes in an AI system?
Audience: US Students
Lenght: from 4 hours
Level required: Beginner
What you will learn:
- ethical considerations regarding the privacy and control of consumer information and big data
- ethical and privacy implications of collecting and managing big data.
- the broader impact of the data science field on modern society and the principles of fairness, accountability, and transparency
- who owns data, how do we value privacy, how to receive informed consent and what it means to be fair.
Lenght: 4 weeks, 15 hours
Audience: Everyone
Level required: Beginner
What you will learn:
- the ethical challenges in AI,
- the lack of transparency,
- the neglect of individual rights which have arisen from COVID-19 technologies and the resultant mass data accumulation.
Audience: Everyone
Lenght: 30 min
Level required: Beginner
What you will learn:
- About the Ethics Guidelines for Trustworthy AI created by the European Union’s High-Level Expert Group on Artificial Intelligence.
- Foundations of trustworthy AI
- Key concepts that are essential to having a holistic view of trustworthy and ethical AI
Audience: Everyone
Lenght: 4 weeks, 3-4 hours per week
Level required: Beginner
What you will learn:
- How Artificial intelligence can benefit society and our planet
- AI applications that are forging positive changes in healthcare, the environment, education, technology, government and more.
- Speakers discuss how challenges regarding fairness, bias, privacy, ethics, etc. are beginning to be addressed.
Audience: Everyone
Lenght: 7 hours
Level required: Beginner
What you will learn:
- Introduction to three cutting-edge technologies for privacy-preserving AI: Federated Learning, Differential Privacy, and Encrypted Computation
- Learn how to use the newest privacy-preserving technologies, such as OpenMined’s PySyft. PySyft extends Deep Learning tools—such as PyTorch—with the cryptographic and distributed technologies necessary to safely and securely train AI models on distributed private data.
Audience: AI engineers
Lenght: Approximately 2 months
Level required: Advanced
