02 · Curriculum
What's in the course.
- Current challenges in business for ML/AIReading
- How to create fairness in AI?Reading
- Introduction to Privacy-Preserving ML/AIReading
- Understanding the Ethics of AIReading
AI Ethics · Intermediate
From Privacy to Fairness in AI
“Responsible AI and AI governance also become a priority for AI on an industrial scale” according to Gartner 2020 hypecycle. Machine learning(ML) and Artificial intelligence(AI) solutions are getting deeper into our day-to-day lives. Curre…
- 7+
- enrolled
- 7 hrs
- of instruction
- 10
- lectures
- 4
- modules
01 · What you'll be able to do
Three things you can ship afterwards.
“Responsible AI and AI governance also become a priority for AI on an industrial scale” according to Gartner 2020 hypecycle. Machine learning(ML) and Artificial intelligence(AI) solutions are getting deeper into our day-to-day lives. Currently, AI is empowering our convenience at the cost of our privacy. In the last few years, we have heard the news about big techs and startups facing lawsuits because of not compiling with new data governance laws. AI implementation in business has been facing several issues and challenges to solve them. This course aims to empower ML/AI researchers and industry leaders in understanding and mitigating the risks of AI. The workshop also provides a platform to exchange ideas and discuss some of the open problems in privacy, ethics and fairness surrounding AI. Outline Current challenges in business for ML/AI Introduction to Privacy-Preserving ML/AI Understanding the Ethics of AI How to create fairness in AI Note: ADaSci Members get 50% discount and Premium Members get 100% discount on the course.
Understand various methodologies
Understand various methodologies and frameworks aimed at safeguarding data privacy in AI.
Gain a profound understanding
Gain a profound understanding of ethical frameworks in AI, exploring the ethical implications of algorithms, bias mitigation strategies, and the socio-cultural impact of AI applications.
Learn to identify
Learn to identify and address biases within AI models.
04 · Is it for you?
Who it's for, and what to bring.
Built for
- Intermediate in Data Science
Bring with you
- Learners should possess a fundamental knowledge of artificial intelligence concepts, including machine learning algorithms, data handling, and model evaluation. A willingness to engage with complex concepts and explore advanced methodologies surrounding fairness, privacy-preserving techniques, and ethical considerations in AI is essential.
05 · FAQ
Before you enrol.
It is self-paced, with 10 lectures across 4 modules.
$44.99
Related credentials
The Chartered Data Scientist (CDS™) Designation
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Ready to start?
$44.99, or free with Premium membership.