AI in Health: The Ethical Considerations Prof. Toby Walsh TU Berlin - - PowerPoint PPT Presentation

▶
ai in health
SMART_READER_LITE
LIVE PREVIEW

AI in Health: The Ethical Considerations Prof. Toby Walsh TU Berlin - - PowerPoint PPT Presentation

Dec 20, 2023 352 likes •672 views

AI in Health: The Ethical Considerations Prof. Toby Walsh TU Berlin | UNSW Sydney | Data61 | QUT AI principles AI principles adopted by 42 nations 1. Be socially beneficial. 2. Avoid creating or reinforcing unfair bias. 3. Be built and

slide-1
SLIDE 1

AI in Health:

The Ethical Considerations

  • Prof. Toby Walsh

TU Berlin | UNSW Sydney | Data61 | QUT

slide-2
SLIDE 2
slide-3
SLIDE 3
slide-4
SLIDE 4
slide-5
SLIDE 5
slide-6
SLIDE 6
slide-7
SLIDE 7
slide-8
SLIDE 8

AI principles

slide-9
SLIDE 9

AI principles adopted by 42 nations

slide-10
SLIDE 10
  • 1. Be socially beneficial.
  • 2. Avoid creating or reinforcing unfair bias.
  • 3. Be built and tested for safety.
  • 4. Be accountable to people.
  • 5. Incorporate privacy design principles.
  • 6. Uphold high standards of scientific excellence.
  • 7. Be made available for uses that accord with these principles.
slide-11
SLIDE 11

Is this not just ethics washing? This is not the first technology to touch people’s lives

slide-12
SLIDE 12

Principles of medical ethics

Autonomy Justice Beneficence Non-maleficence

slide-13
SLIDE 13

Principles of medical ethics

Autonomy Justice Beneficence Non-maleficence Precautionary principle

slide-14
SLIDE 14

Autonomy

Respect autonomy of patient (e.g. informed consent)

slide-15
SLIDE 15

Autonomy

Respect autonomy of patient (e.g. no deception or autonomy of machines)

slide-16
SLIDE 16

Justice

Benefits (& burdens) spread equally Fairness Respect existing laws

slide-17
SLIDE 17

Justice

Benefits (& burdens) spread equally Fairness Respect existing laws (e.g. algorithmic bias, racial and other forms of discrimination)

slide-18
SLIDE 18

Beneficence

New procedures should do good Bring net benefits (utilitarian)

slide-19
SLIDE 19

Beneficence

New procedures should do good Bring net benefits (utilitarian) We saw this, for example, in Google’s AI principles

slide-20
SLIDE 20

Non-maleficence

Does no harm to anyone Not the same as beneficence (more egalitarian)

slide-21
SLIDE 21

Non-maleficence

Does no harm to anyone Not the same as beneficence (more egalitarian) Privacy trade-offs

slide-22
SLIDE 22

Precautionary principle

When an activity raises threats of harm to human health or the environment, precautionary measures should be taken even if some cause and effect relationships are not fully established scientifically Enshrined in international law (e.g. EU law, Kyoto protocol)

slide-23
SLIDE 23

Precautionary principle

When an activity raises threats of harm to human health or the environment, precautionary measures should be taken even if some cause and effect relationships are not fully established scientifically Applies very well to uncertain impacts of AI (especially on our mental health)

slide-24
SLIDE 24
slide-25
SLIDE 25
slide-26
SLIDE 26
slide-27
SLIDE 27
slide-28
SLIDE 28

PAROLE DECISIONS [PNAS 108(17): 6889-6892]

slide-29
SLIDE 29

PAROLE DECISIONS [PNAS 108(17): 6889-6892] TEA BREAK LUNCH

slide-30
SLIDE 30