# data[].attributes.headline
can be biased in terms of how it is collected

# data[].attributes.subject
can be biased in terms of how it is collected

# data[].attributes.headline
Can be used for harmful purposes ie predictive policing, employment discrimination etc

# data[].attributes.subject
Can be used for harmful purposes ie predictive policing, employment discrimination etc

# data[].attributes.body
Can perpetuate biases or reinforce them

# data[].attributes.body
entire groups/sections of data may be excluded and therefore the sample that is taken is inaccurate

# data[].attributes.headline
human are inherently unpredictable/ engage in unpredictable behavior 

# data[].attributes.subject
human are inherently unpredictable/ engage in unpredictable behavior 

# data[].attributes.headline
extra data points from biased surveillance can reinforce bias with 'evidence'

# data[].attributes.subject
extra data points from biased surveillance can reinforce bias with 'evidence'

# data[].attributes.headline
Minority Report has become a documentary

# data[].attributes.subject
Minority Report has become a documentary

# data[].attributes.headline
Predictions can be biased based on issues with data collection and analysis

# data[].attributes.subject
Predictions can be biased based on issues with data collection and analysis

# data[].attributes.body
implicit biases inherent to whoever is conducting the research/analysis

# data[].attributes.headline
lack of inclusion/ diversity on back end can cause biases in data

# data[].attributes.subject
lack of inclusion/ diversity on back end can cause biases in data

# data[].attributes.body
Data can be used for purposes besides the stated intent for its collection, in ways that users may not have been aware of when consenting to share information.

# data[].attributes.headline
DS passivity scale. Unsure how it works, but interesting to move away from idea that DS is free of bias because it is based on math/technology/stat

# data[].attributes.subject
DS passivity scale. Unsure how it works, but interesting to move away from idea that DS is free of bias because it is based on math/technology/stat

# data[].attributes.headline
census data has been used in the past to facilitate genocide

# data[].attributes.subject
census data has been used in the past to facilitate genocide

# data[].attributes.headline
consent is usually not ongoing as pointed out in data manifest-no

# data[].attributes.subject
consent is usually not ongoing as pointed out in data manifest-no

# data[].attributes.body
Laws like the ADA not presently having any clauses that protect against predictive discrimination or requiring that employers disclose when they are using these models

# data[].attributes.headline
learned bias influences how models are trained, therefore how those models predict

# data[].attributes.subject
learned bias influences how models are trained, therefore how those models predict

# data[].attributes.headline
predictive data being used can lead to cyclical data being produced that confirms biases like with predictive policing 

# data[].attributes.subject
predictive data being used can lead to cyclical data being produced that confirms biases like with predictive policing 

# data[].attributes.headline
in medical situations, predictions are unclear when risk factors cannot be easily categorized as genetic or acquired by choice

# data[].attributes.subject
in medical situations, predictions are unclear when risk factors cannot be easily categorized as genetic or acquired by choice

# data[].attributes.body
Zuboff writes: if “industrial capitalism depended upon the exploitation and control of nature,” then surveillance capitalism “depends instead upon the exploitation and control of human nature.” (the use personal data subjects individuals to categorization and highlights how people can become voiceless in the face of data misusage)

# data[].attributes.headline
Presentation of challenges in the last video bring up findings that can be applied in an organization's code

# data[].attributes.subject
Presentation of challenges in the last video bring up findings that can be applied in an organization's code

# data[].attributes.headline
people have to pay with their data in order to use ubiquitous technology therefore their consent becomes coerced since there is no alternative option 

# data[].attributes.subject
people have to pay with their data in order to use ubiquitous technology therefore their consent becomes coerced since there is no alternative option 

# data[].attributes.headline
it's impossible to actually read the full terms and conditions for every single technology or website we use time-wise

# data[].attributes.subject
it's impossible to actually read the full terms and conditions for every single technology or website we use time-wise

# data[].attributes.body
The way that information is being processed and used to making predictions about the human condition and eventually making decisions discriminate against the inherent differences that exist in the human population. It is a new kind of eugenics?

# data[].attributes.headline
In the example of overpolicing of certain neighbourhoods, police overcollect data and then use that to reinforce beliefs about the residents' allegedly higher level of criminality 

# data[].attributes.subject
In the example of overpolicing of certain neighbourhoods, police overcollect data and then use that to reinforce beliefs about the residents' allegedly higher level of criminality 

# data[].attributes.headline
this section is v "life imitates art" but only for dystopian scifi:(

# data[].attributes.subject
this section is v "life imitates art" but only for dystopian scifi:(