Ayodele Odubela
Author
Language
English
Description
Learn about the practices needed to perform fairness testing and implement responsible AI systems.
How well do you understand the issues around algorithmic bias and unfairness? In this course, data scientist and AI ethicist Ayodele Odubela teaches you the principles of responsible AI, as well as the frameworks necessary to apply RAI techniques in AI systems. Ayodele explains modern AI development and problems in machine learning (ML) that differ...
Author
Language
English
Description
Learn the fundamentals of how to adapt to and comply with AI regulation in this introductory course on auditing AI systems for bias and discrimination.
AI regulation is here, so you may be wondering how to adapt. And if you’re an enterprise organization, startup, or AI practitioner, you probably already know that there are very few existing training resources for technical teams. In this course, instructor Ayodele Odubela gives you a hands-on overview...
Author
Language
English
Description
This mid-level course takes you through how to create one of the most common types of machine learning: supervised learning models.
Data scientists and ML/AI students may need some practical experience with supervised learning algorithms. In this course, instructor Ayodele Odubela teaches you to apply models you’ve created to new data and to assess model performance. First, Ayodele outlines what supervised learning is and how to make predictions...
Author
Language
日本語
Description
このコースでは、AI技術の急速な成長とともに出現した理論的課題への向き合い方について学びます。AI開発の各段階における責任と、今後の機械学習で実践できる取り組みを解説します。
近年、IT業界に留まらずさまざまな産業でAIの導入が進んでいます。AIのおかげで仕事や生活が楽になると言われる一方で、AIが社会にもたらす複雑で重層的な課題は見過ごされがちです。このコースでは、AI技術の急速な発展とともに出現した理論的課題への向き合い方について学びます。責任あるAIとして社会的価値観、道徳観、倫理観を考慮して開発ワークフローに取り入れる方法、不公平なAIシステムに伴う法的リスク、アルゴリズムによる害や人権とAIの関係性などを解説します。また、人間のバイアスが機械学習の開発ライフサイクルに組み込まれてしまう仕組みや、透明性を確保して製品に対する信頼を築くための枠組みも説明します（このコースは音声のみのオーディオコースです）。...
Author
Language
English
Description
Learn about the fundamentals of ethics in AI. Explore ways to operationalize responsible AI in daily organizational practice.
The ethics of artificial intelligence is hotly contested in tech. And as AI has been adopted in recent years by many other industries, it continues to raise complicated, multilayered questions that have unpredictable, far-reaching effects. If you’re curious to discover new ways to think about the big questions of ethics...
Author
Language
Portuguese
Description
Examine os fundamentos da ética em IA. Explore maneiras de operacionalizar a IA responsável nas práticas organizacionais diárias.
A ética da inteligência artificial é fortemente contestada na área de tecnologia. E como a IA também foi adotada nos últimos anos por muitos outros setores, ela continua a levantar questões complicadas e multifacetadas que têm efeitos imprevisíveis e de longo alcance. Caso queira descobrir novas formas de...