Analyse data ethics in the context of a legal framework and its impact on AI
During this course, you’ll learn how to apply ethical and legal frameworks to the powerful AI and Analytics tools used by corporations, governments and individuals. You’ll also learn how to use practical approaches to tackle data and analytics problems.
From issues of bias in the processing of data to the impact of generative AI on the contemporary job market, you’ll consider the many legal and ethical challenges that surround these new technologies.
Delve into the legalities and ethics of data sharing, privacy and algorithmic decision-making
Data professionals use different analytical tools to create real-world outcomes. Though it’s important to achieve optimal results, we must also consider the ethics surrounding data sharing, privacy and algorithmic decision-making.
This course will teach how to apply legal and ethical frameworks to initiatives in the data profession. You’ll also learn how to investigate applied data methods for ethical and legal work in Analytics and AI, a useful skill in this increasingly competitive and technologically complicated world.
Explore practical approaches to data and analytics
There are many problems posed by work in Big Data, Data Science and AI. During this course, you’ll explore practical approaches to help tackle these data and analytics challenges.
By the end of the course, you’ll be comfortable with the ethical and legal frameworks surrounding AI and Analytics, giving you a deeper understanding of the problems faced by data professionals.
This course is aimed at anyone, including data scientists, who are interested in learning more about the questions of law and ethics surrounding data and analytics.
If you want to further your subject knowledge, you may be interested in these courses from the same provider. They share the same subject and overall learning outcomes:
- Microsoft Future Ready: Data Science Research Methods Using Python Programming
- Microsoft Future Ready: Principles of Machine Learning with Python Programming
- Microsoft Future Ready: Designing and Implementing an Azure AI Solution
No prior knowledge or specific tools are required.
