Digital exclusion and digital divide Flashcards

(17 cards)

1
Q

What are the 3 factors of Digital exclusion?

A
  • Ability
  • Access
  • Affordability
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2
Q

What lack of abilities can lead to digital exclusion?

A
  • digital literacy
  • Physical/cognitive ability
  • Motivation and confidence
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3
Q

What solutions are there to lack of digital literacy?

A

Training and workshops

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4
Q

What solutions are there to lack of physical/cognitive ability?

A

Inclusive design/accessibility

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5
Q

What solutions are there to a lack of confidence in using computers?

A

User-friendly UIs and error tolerance

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6
Q

Other than upfront costs of devices, what other costs have to be considered in computing?

A
  • Monthly expenses such as internet bills or software subscriptions
  • Hidden costs such as electricity bills, upgrades and repairs
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7
Q

What is digital divide

A

The gap between individuals or groups that have access to computers and those who don’t

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8
Q

What affects the digital divide?

A
  • Age
  • Income
  • Geography
  • Education
  • Disability
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9
Q

What are the 3 layers of the digital divide?

A
  • Access divide
  • Skills divide
  • Usage divide
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10
Q

What are the solutions to the digital divide in older generations?

A
  • User-friendly design
  • Community training programs
  • AI helpers or voice assistants
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11
Q

What causes geographic digital divide?

A

Rural areas have poor broadband access

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12
Q

What Is the difference between between digital exclusion and digital divide?

A

Digital exclusion: Divide is due to societal or structural barriers

Digital divide: Divide is due to lack of equal access

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13
Q

What the neoliberalism approach to technology?

A

Government’s responsibility it to create and sustain markets only

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14
Q

What the new economy approach to technology?

A

Build and prioritise digital innovation and efficiency

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15
Q

What is the problem with neoliberalism and new economy?

A

Can normalise abandonment of those who still face structural barriers

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16
Q

Why may AI not be inclusive?

A

AI models prioritise common patterns in training data and may not consider minorities in cultures, literacy etc

17
Q

How can AI be more inclusive?

A
  • Federated learning : AI is trained on local data sets rather than centralised ones
  • Bias detection