AI · Theory

- Boon or Bane

Theory

214/215

- Boon or Bane

- Boon or Bane is about impact, not layers. Take a side with a reason: who is helped, who is hurt, what data was used, who is accountable. Accuracy can look high while a group is treated unfairly.

Output — idea / do / check for - Boon or Bane. Fill those three in the viva.

For - Boon or Bane — one concrete harm + one mitigation (better data, audit, XAI, regulation). Don’t preach.

Exam tip

One harm + one mitigation.

Example

# - Boon or Bane
print("idea :", "- Boon or Bane")
print("do   : one tiny example on paper")
print("check: one failure case")

Output: idea / do / check for - Boon or Bane. Fill those three in the viva.

Short notes

Def- Boon or Bane — people + power + data.
Rule- Boon or Bane — fairness ≠ accuracy.
Remember- Boon or Bane — who is accountable?

AI · Theory

- Boon or Bane

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Theory

214/215

- Boon or Bane

- Boon or Bane is about impact, not layers. Take a side with a reason: who is helped, who is hurt, what data was used, who is accountable. Accuracy can look high while a group is treated unfairly.

Output — idea / do / check for - Boon or Bane. Fill those three in the viva.

For - Boon or Bane — one concrete harm + one mitigation (better data, audit, XAI, regulation). Don’t preach.

Exam tip

One harm + one mitigation.

Example

# - Boon or Bane
print("idea :", "- Boon or Bane")
print("do   : one tiny example on paper")
print("check: one failure case")

Output: idea / do / check for - Boon or Bane. Fill those three in the viva.

Short notes

Def- Boon or Bane — people + power + data.
Rule- Boon or Bane — fairness ≠ accuracy.
Remember- Boon or Bane — who is accountable?

- Boon or Bane

Example

Short notes

Questions

- Boon or Bane

Example

Short notes

Questions