Promote the Ethical Use of Data-Driven Technologies

О курсе

The greatest risk in emerging technology is the perpetuation of bias in automated technologies dependent upon data sets. Solutions created with racial, gender or demographic bias, whether unintentional or not can perpetuate tragic inequities socially and economically. This is the first of five courses within the Certified Ethical Emerging Technologist (CEET) professional certificate and it is designed for learners seeking to advocate and promote the ethical use of data-driven technologies. Students will learn what emerging technologies are and how they can be used to create data driven solutions. You will learn types of bias and common ethical theories and how they can be applied to emerging technology, and examine legal and ethical privacy concepts as they relate to technologies such as artificial intelligence, machine learning and data science fields. Throughout the course learners begin to distinguish which types of bias may cause the greatest risk and which principles to apply to strategically respond to ethical considerations.

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Учитесь у экспертов

Tania De Gasperis

Founder of Over Under Inside Out and AI Ethics Researcher

Aaron Hui

Founding President of The AI Robotics Ethics Society

Eleanor 'Nell' Watson

Tech Ethicist and AI Faculty Member at Singularity University