AI implicit costs Flashcards

(10 cards)

1
Q

AI implicit costs
- technical issue

A

“Bigger is better” → increasing parameters

Too many parameters
- too big
- less quality of the sources

New approach
- less sources but good quality
- less decimal

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2
Q

AI implicit costs
- Impact on the environment

A

→ Power demands
- 2026 consume 100 times of 2023

→ Carbon footprint
- Data centers power consuming infrastructures
- AI more consuming then traditional search

→ Heuristic processes and not analytic mental process
(we could think before of the impact without trial)

→ Biases

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3
Q

AI implicit costs
- Heuristic process bias

A

1) WYSIATI
2) The intentional stance toward the AI
3) Somatic markers
4) Hyperbolic discounts
5) Herd and authority bias
6) Isolated action bias

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4
Q

AI implicit costs

  • Heuristic process bias
    1) WYSIATI
A
  • What you see is all there is

→ focus exclusively of
- what is visible here and no
- what we always know
-what seems true

→ overlooked
- less-knomw
- hard-to find
- hard-to understand

→ hide ethically relevant costs
- workers
- land
- energy
- etc.

→ cultural factors
- virtual element of AI
- not true or relevant

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5
Q

AI implicit costs

  • Heuristic process bias
    2) The intentonal stance toward the AI
A

→ AI as rational agent
- with belief and desire (Intention)
pro → it helps us explain, interact
cons → social and environment costs

→ helps spread disinformation about AI

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6
Q

AI implicit costs

  • Heuristic process bias
    3) Somatic markers (Sms)
A

→ physiological states that operate a selection between positive and negative stimuli
- affect decision-making

→ we don’t have direct experience of the consequences of climate-change
- Sms do not activate

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7
Q

AI implicit costs

  • Heuristic process bias
    4) Hyperbolic discounts
A

→ Future advantage (or costs) look smaller than real

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8
Q

AI implicit costs

  • Heuristic process bias
    5) Hard and authority bias
A

social media → echo chamber

  • conspiracy theories
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9
Q

AI implicit costs

  • Policies for a “Green” AI
    Intervention
A

Intervention on researchers
→ Developing alghorithms, methodologies, system arrchitecture more:
- efficient
- energy-saving
- environmental-friendly

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10
Q

AI implicit costs

  • Policies for a “Green” AI
    Good practices
A

→ Short-term benefits to develop green AI
- tax-cuts
- financial rewards
(hyperbolic discounts)
(isolated action bias)

→ reward researchers that embrace green AI
- activate somatic marker

→ implementing the measures on a massive scale
- active herd and the authority bias

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