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The African Data Scientist

10 EpisodesProduced by Port Harcourt School of AIWebsite

We tell the story of African data science and artificial intelligence (AI) potential. We feature interviews from experts within and outside Africa. We have discussions on topics related to data science, machine learning, statistics, artificial intelligence, all from a perspective of understanding th… read more


#7 - Understanding the Need for Responsible AI and Data Science (in Africa) with Julia Stoyanovich, Ph.D

Do you know that some AI algorithms have pre-existing bias even without training data? What should you think about when you hear the term "Responsible AI"? We explore all of that and more in this episode with professor Julia Stoyanovich, an assistant professor of data science at the Center for Data Science at New York University (NYU). With both industry and academic experience, she is actively working in the domain of responsible data science and AI.

You'll learn;

⚫ Guest’s background (1:25) and lessons from career transition from industry to academia - 2:07.

⚫ What AI engineers and practitioners should think when they hear the term “responsible AI” - 4:36.

⚫ What the general public and non-engineers should think about in the context of responsible data science and AI - 7:02.

⚫ How human bias reflects in AI systems (8:55) and types of biases in computer systems - 12:10

⚫ Why AI algorithms are NOT neutral when it comes to bias in AI systems and examples of ways AI algorithms reinforces or introduces systemic biases - 13:01.

⚫ How Africa should go about adopting data privacy and protection measures - 16:16.

⚫ Breakthrough opportunities in responsible data science and AI for Africa and other underrepresented populations - 19:26.

⚫ Specific applications of AI we should pay attention to the most when applying responsible AI techniques - 21:25.

⚫ What people often get wrong about responsible AI and data science - 27:38.

⚫ Qualities you need to be a world-class AI researcher - 34:01

⚫ Guest's advice for you, if you are looking to build AI projects responsibly to solve real-world problems - 39:05.


Professor Julia's;

>  LinkedIn

>  Twitter

>  Website

> Learn from her workshop with our AI community on "Responsible Data Science, Privacy and Algorithmic Fairness" here.



11:56 - The Paper Professor Julia referenced is "Bias in computer systems" by Batya Friedman and Helen Nissenbaum.


> Subscribe, download, and if you enjoyed the show, leave a 5-star rating for us wherever you listen to your shows. It will help others find the show.

📩 Share with your friends and colleagues as well that will gain from this episode.


📍Some Articles on "Insights in AI and Data Science" Episodes You May Like from Experts and Practitioners:

Episode 4 -  Sayak Paul, Google Developer Expert (GDE) in Machine Learning.

Episode 5 - with Aurélien Géron, Former YouTube Product Manager.


💙Follow us on Twitter 🐦

📺 Visit our YouTube channel.

Till next time. Take care, and be safe. 💚💚

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