Data Ethics, AI and Responsible Innovation
Become an ethical AI practitioner by developing the ability to identify and resolve ethical challenges in AI and data science initiatives.
data science,big data,information privacy,machine learning,innovation,facial recognition,intelligent systems,data ethics
Description for Data Ethics, AI and Responsible Innovation
Critical Issues in Data Lifecycle: Understand the critical, social, legal, political, and ethical issues that arise throughout the data lifecycle.
Key Ethical Concepts: Gain an understanding of the concepts of ethics, morality, responsibility, digital rights, data governance, and human-data interaction in the context of data practices.
Ethical Issues in Data Science: Apply critical judgment to identify and assess the current ethical challenges in the data science and industry.
Ethically Driven Solutions: Ensure responsible decision-making by developing and applying ethically driven solutions to moral problems in your professional practice.
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On edX provided by EdinburghX
Duration: 3�4 hours per week approx 5 weeks
Schedule: Flexible
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