Seekh Logo

AI-powered learning platform providing comprehensive practice questions, detailed explanations, and interactive study tools across multiple subjects.

Explore Subjects

Sciences
  • Astronomy
  • Biology
  • Chemistry
  • Physics
Humanities
  • Psychology
  • History
  • Philosophy

Learning Tools

  • Study Library
  • Practice Quizzes
  • Flashcards
  • Study Summaries
  • Q&A Bank
  • PDF to Quiz Converter
  • Video Summarizer
  • Smart Flashcards

Support

  • Help Center
  • Contact Us
  • Privacy Policy
  • Terms of Service
  • Pricing

© 2025 Seekh Education. All rights reserved.

Seekh Logo
HomeHomework Helpsocial-justiceDigital Justice

Digital Justice

Digital Justice and Algorithmic Accountability refer to the ethical principles and practices aimed at ensuring fairness, transparency, and responsibility in the design and implementation of algorithms and digital technologies, particularly in how they affect social equity and individual rights. This concept emphasizes the need for systems that prevent bias and discrimination while promoting equitable access to digital resources and opportunities.

intermediate
3 hours
Social Justice
0 views this week
Study FlashcardsQuick Summary
0

Overview

Digital justice is a crucial concept in our technology-driven world, focusing on the fair and equitable use of algorithms and data. It addresses issues like algorithmic bias, data privacy, and the need for transparency in digital systems. Understanding these concepts helps ensure that technology ser...

Quick Links

Study FlashcardsQuick SummaryPractice Questions

Key Terms

Algorithmic Bias
The tendency of algorithms to produce unfair outcomes due to biased data or design.

Example: A hiring algorithm that favors candidates from certain demographics.

Data Privacy
The protection of personal information collected by organizations.

Example: GDPR regulations in Europe that protect user data.

Transparency
The clarity and openness of algorithms and data usage to the public.

Example: Companies publishing their algorithmic decision-making processes.

Fairness
The principle that all individuals should have equal access and treatment in digital systems.

Example: Ensuring that loan approval algorithms do not discriminate against certain groups.

Ethics
Moral principles that govern a person's or group's behavior.

Example: Ethical considerations in AI development.

Predictive Policing
Using data analysis to predict where crimes are likely to occur.

Example: Police departments using algorithms to allocate resources.

Related Topics

Ethical AI
Explores the ethical implications of artificial intelligence and its impact on society.
advanced
Data Ethics
Focuses on the moral issues surrounding data collection and usage.
intermediate
Social Media Accountability
Examines the responsibilities of social media platforms in moderating content.
intermediate

Key Concepts

Algorithmic BiasData PrivacyTransparencyFairness