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Digital Ethics

Digital Ethics is a branch of applied ethics that examines the moral implications of digital technologies, data usage, and online behavior. It involves principles and frameworks for addressing issues like privacy, bias, transparency, accountability, and social impact in technology development and deployment. This field guides responsible decision-making in areas such as AI, cybersecurity, social media, and data governance.

Also known as: Tech Ethics, AI Ethics, Data Ethics, Computer Ethics, Ethics in Technology
🧊Why learn Digital Ethics?

Developers should learn Digital Ethics to build technologies that are fair, trustworthy, and socially beneficial, especially as AI and data-driven systems become pervasive. It is crucial for roles involving AI/ML, data science, product management, or any work with user data to mitigate risks like algorithmic bias, privacy violations, and unintended harms. Understanding ethics helps comply with regulations (e.g., GDPR), enhance user trust, and foster innovation that aligns with societal values.

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