SCC.141 Professionalism in Practice - Digital Exclusion and Digital Divide

Flashcards about digital exclusion and digital divide.

What is Digital Exclusion?

Inability to fully participate in digital life due to limited Ability, Access, or Affordability, leading to Social, Economic, and Educational disadvantages.

What does Ability refer to within the context of Digital Exclusion?

Skills, literacy, and confidence needed to engage with digital technologies, including digital literacy, physical/cognitive factors, and motivation.

What are potential solutions for addressing the Ability aspect of Digital Exclusion?

Training & Workshops, Inclusive Design (larger fonts, voice controls), and User-Friendly Interfaces.

What does Access refer to within the context of Digital Exclusion?

The ability to obtain and use necessary devices, infrastructure and reliable internet or mobile connectivity.

What are potential solutions for addressing the Access aspect of Digital Exclusion?

Infrastructure Investment, Community Resources (libraries with free internet), and Device Donations/Refurbishing.

What does Affordability refer to within the context of Digital Exclusion?

The financial feasibility of purchasing and maintaining devices, paying for internet, and covering ongoing costs.

What are potential solutions for addressing the Affordability aspect of Digital Exclusion?

Subsidies & Discounts, Flexible Payment Plans, and Partnerships & Grants.

What does Digital Exclusion focus on?

Focuses on why individuals may not participate fully due to Ability, Access, and Affordability.

What does the Digital Divide focus on?

Focuses on which groups/regions are left behind and how these disparities manifest.

What is the Digital Divide?

Inequalities in access to, use of, and benefits from digital technology.

What factors contribute to the Digital Divide?

Age, Income, Geography, Education, and Disability.

What are the three layers of the Digital Divide?

Access Divide, Skills Divide, and Usage Divide.

Who are Digital Natives?

Born into the digital world (Gen Z, Millennials).

Who are Digital Immigrants?

Adopted technology later in life (Gen X, Boomers).

Who are Digital Pioneers?

Early adopters of the internet and computing (Older Millennials, Gen X).

Who is Generation Alpha?

First fully AI-native generation (Gen Alpha).

What are the barriers to technology adoption for older generations?

Lack of digital skills, trust & security concerns, and complexity of modern interfaces.

What are the solutions to overcome barriers to technology adoption for older generations?

User-friendly tech design, community training programs, voice assistants & AI helpers.

What struggles do low-income communities face regarding technology access?

Affording smartphones, computers, & high-speed internet and Data costs.

What advantages do Urban areas have over rural areas regarding digital access?

Faster internet and more infrastructure.

What is The Homework Gap?

Students in low-income areas often lack devices or stable internet.

What is The Skills Divide?

Many adults struggle with digital tools, limiting job opportunities.

What is the AI & Automation Shift?

The digital economy demands new skills that aren't evenly taught.

What barriers do people with disabilities face in accessing technology?

Lack of screen reader compatibility, inaccessible online learning platforms, and lack of assistive technology support.

What are Assistive Technologies that bridge the Disability Digital Divide?

Screen Readers & Braille Displays, Eye-Tracking Systems, and Alternative Keyboards & Adaptive Mice.

Which groups are more vulnerable to online threats?

Older adults, children & teens, and low-literacy users.

How does Digital Exclusion frame differences in technology use?

Differences in technology use as inequity, implying societal responsibility to address barriers.

How does Digital Divide frame differences in technology use?

Differences in technology use as inequality, with remedies often framed as "equal access."

What is Reinforcement Learning Bias in AI?

AI models prioritize common patterns in training data, leading to exclusion of less frequent cases.

What is Data Representation Gap in AI?

Training datasets reflect dominant cultural and commercial practices, reinforcing mainstream biases.

What are Mode Collapse & Algorithmic Defaulting in AI?

Overfitting to high-frequency examples leads to AI-generated content lacking diversity and inclusion.

How are marginalized users affected by biases in AI?

Diverse cultural representations may be underrepresented in AI outputs.

How can we design for inclusion in AI to reduce digital exclusion?

Addressing dataset imbalances and re-weighting reinforcement learning.

What are the challenges & opportunities of AI for Digital Inclusion?

AI Assistants, Algorithmic Bias, and Automation & Jobs.

What are the benefits of Local-First or Edge AI?

Reduces reliance on high-speed internet; processes data on-device.

What are the benefits of Federated Learning?

Models can train on decentralized data sets, improving representation without centralizing private info.

What is Explainable AI (XAI) and Model Interpretability?

Techniques that help users understand AI decisions.

What is Bias Detection & Mitigation?

Tools to measure and reduce algorithmic bias.

What is Low-Resource Language Support?

Transfer learning or domain adaptation to handle languages with limited data.