# Lecture - Ethics and Responsible Innovation MT22, II

> Source: https://ollybritton.com/notes/uni/prelims/mt22/ethics-and-responsible-innovation/lectures/2/ · Updated: 2022-11-18 · Tags: uni, lecture

- [Course - Ethics and Responsible Innovation MT22](https://ollybritton.com/notes/uni/prelims/mt22/ethics-and-responsible-innovation/)

### Notes
- Feedback loops through society; using past crime rates to predict crimes is biased towards black neighbourhoods. This increases the policing in those neighbourhoods and then means that more crimes will be detected.
- Types of bias
	- Automation bias: human tendency to trust the output of an algorithm more than their own intuition
	- Algorithmic bias; algorithms systematically failing to treat individuals equally, causing disproportionate inconvenience or harm
- What makes actions right in general?
	- Consequentialism; the consequences that an action leads to.
	- Deontology
- Problems for consequentialism
	- How are you measuring the outcome?
	- Predicting the consequences of actions in complex situations is very difficult
- Problems for deontology
- In lots of cases, the two theories can be made compatible
- Lenses
	- Outcome lens: in what ways does what you’re making turn out better or worse for your stakeholders?
	- Process lens: How did the process ttreat everyone involved? Who had dcision making power, who was treated with respect, etc.?
	- Structure lens: how were the outcomes distributed across groups? Were there differences in how different groups were treated or involved with the process?

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