Week 2 -Why Focus on S-Risks?
Explore longtermism, suffering-focused ethics, and the idea of prioritising worst-case outcomes.
Introduction to suffering-focused ethics
Moral Frameworks of Suffering-focused Ethics
Fundamental
Foremost priority to the reduction of suffering
Variables of Suffering Focused Ethics
how strongly suffering is prioritised
which considerations besides suffering
Only moral obligation: Reduce suffering
? what about pleasure?
Strong Negative utilitarianism
Only concerned with minimizing suffering
Not concerned with positivity
Weak Negative Utilitarianism
Other names
‘negative-leaning’, ‘partially asymmetric’, or ‘partially suffering-focused’
Suffering primarily, Positivity secondarily
Exchange rate e.g., Suffering:Happiness 10:1
Negative consequentialism
includes suffering (experience) as well as injustice
Categorical Norm: Unacceptable Tradeoffs
Unacceptable to purchase positivity in exchange for negativity
To which degree?
Positivity for acceptable quality of life
Negativity from minor to intense (death, unbearable)
How other views imply supporting suffering-focused ethics
Focus on well being: Implies preventing that which prevents it i.e., suffering
Population Ethics with view that increasing population does not increase welfare: Implies preventing suffering
Pro Suffering
Intensity
Severe Suffering > Non-Severe Suffering
e.g,. tortured vs feeling cold
Consent
Active Disapproval
Non-Approval
Suffering vs Positive Value (e.g,. happiness)
Urgency
Suffering has urgency
'Emergency'
Is about reducing suffering
Not about adding positivity
Moral Monster & Evil Actions
always about suffering not about failing to create positive values
Situation: Extreme Suffering + Extreme Good = Overall-bad
Should prevent whole situation even though it includes extreme good
Impossible to counterbalance with good
Good has no urgency
Not increase seems wholly fine & unproblematic
e.g. Opportunity to enable someone with a problem-free life to experience more intense pleasure
e.g., Opportunity to create more beings with purportedly positive welfare
There is no Final Positive Value
Good: Flawless
Definition
No need to change anything
Cannot make it better
No spectrum
Moral Implication
No moral imperative to add anything/improve
Only to take away which hinders it i.e., suffering
Reality
rarely or never reach it
Has anyone reached it?
Bad: Flawed
Spectrum i.e., varies in degree

Misunderstandings about suffering-focused ethics
World Destruction
It might be morally wrong to destroy
Death
Contra Death
Virtue (capacity to reduce suffering) would be decreased
Death is a harm in itself
individual prefers to stay alive
Positive Value would be decreased
Pro Death
agonising terminal illness and wants to die, and their death would not harm others
Priorities from a suffering-focused perspective
Reducing risks of worst-case outcomes (s-risks)
Reducing suffering of non-human sentience
e.g., Animal Farming
Reducing the suffering of the worst-off humans
e.g., violence, accidents, disease
Reducing suffering in everyday life
e.g., people in distress, avoiding harming insects, consumption choices like veganism
Chapter 3 – Should we focus on the long-term future?
Time impartiality - Irrelevance of Time for Moral Status
Suffering matters equally regardless of when it is experienced
Disregarding the suffering (or other interests) of an individual because of the time they live in would be akin to denying them equal moral status because of other contingent factors, such as the place they live in
Practical long-term focus
long-term consequences of our actions should, in practice, guide our decisions
Due to the potentially vast number of future beings
Long e.g., Sun will probably last for 5 billion years
Vast e.g., space colonisation
Solvability
We should optimise for long-term impact, rather than short- or medium-term impact, only makes sense if we can actually do something now to reliably improve the long-term future
Contra
Less Predictability
Our impact on the distant future is less predictable than our shorter-term impact
Lack of Information
The world is vast, our knowledge base is limited, and the lack of reliable feedback loops hampers a trial-and-error approach
Future Changes against our present choices
Another challenge is that most of what we can hope to affect now can, and likely will, be changed by later decisions
Future might be better suited
Future decision-makers may be in a better position to solve future problems than we are.
future people will likely know better which s-risks are most serious, which might give them the upper hand in finding effective interventions
Pro
Too late
Too late to start thinking about s-risks when they already start to materialise.
Without sufficient foresight and caution, society may already be on a trajectory that ultimately leads to a worst-case outcome
Lack of Care
And even if future actors are able to prevent s-risks, it is not clear whether they will care enough to do so
Leverage - Are we in a good position for long-term influence?
pivotal event could occur in the foreseeable future
such as the aforementioned development of smarter-than-human AI
Lock-in of certain values and power structures, resulting in a steady state that determines everything that happens afterwards.
Early
The observation that we are still on a single planet that could potentially originate a vast cosmic civilisation suggests that we might indeed be in a unique position.
If a long or big future happens, then almost all individuals will live in the future, which means that we can influence them but they cannot influence us.
Action
Research Field
Community
Middle Ground (Near & Longterm)
Improving the state of civilisation one or two centuries from now, which will also likely translate to better outcomes in the very long term.
Chapter 5 – Should we focus on worst-case outcomes?
Heavytailed
Extreme outliers are common
Example
Most casualties of war are concentrated in a relatively small number of the bloodiest wars
Most of the overall damage from earthquakes is due to the most extreme ones
S-Risk heavy-tail
that a large fraction of (expected) suffering might be concentrated in the most extreme s-risks
Focus on worst 10% of outcomes rather than the worst 0.1%
almost never extremely skewed i.e. heavy tail on 0.1%

To be summarized
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