# data[].attributes.body
Sampling bias

# data[].attributes.headline
Making assumptions about data / assigning biases to data

# data[].attributes.subject
Making assumptions about data / assigning biases to data

# data[].attributes.headline
How/whether predictions are used against people

# data[].attributes.subject
How/whether predictions are used against people

# data[].attributes.headline
Who you're sampling from and the size of the sample

# data[].attributes.subject
Who you're sampling from and the size of the sample

# data[].attributes.body
Make people less like people and more statistics

# data[].attributes.headline
Needs a framework for anticipating bias and reacting when it happens

# data[].attributes.subject
Needs a framework for anticipating bias and reacting when it happens

# data[].attributes.headline
Making predictions not based on prior data

# data[].attributes.subject
Making predictions not based on prior data

# data[].attributes.body
Intrusive, privacy concerns...

# data[].attributes.headline
Does your analysis go against the wish of the community your representing?

# data[].attributes.subject
Does your analysis go against the wish of the community your representing?

# data[].attributes.body
Have you consulted communities that your data represents and have them understand how this data represents them.

# data[].attributes.body
Where’s the data collected? Does the user have consent on that?