AI and Machine Learning

Ethics in AI and Data Science

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eDX

By providing learners with a practical guide to navigating the ethical complexities of AI and Data Science, this course empowers them to develop responsible and sustainable AI solutions.

Key AI Functions:data science,accountability,ethical principles,leadership,emerging technologies,biology,artificial intelligence,data analysis

Description for Ethics in AI and Data Science

  • Ethical Challenges: Analyze the complicated moral dilemmas presented by AI and Data Science, such as autonomy, privacy, and bias.

  • Impact Assessment: Recognize the extensive repercussions of AI and Data Science on enterprises, societies, and individuals.

  • AI and Society: Analyze the complex relationship between AI and societal dynamics, taking into account both the potential benefits and the potential hazards.

  • Establishing an Ethical Framework: Discover the process of establishing a robust framework for AI principles that will guide responsible development and deployment.

Level: Beginner

Certification Degree: Yes

Languages the Course is Available: 11

Offered by: On edX provided by GTx

Duration: 1�2 hours per week approx 6 weeks

Schedule: Flexible

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