Ethical Considerations in Machine Learning
Keywords
ethic,
machine,
learning,
ai,
fairness,
bias,
privacy,
transparency,
responsibility,
trust,
security,
regulation,
consent,
discrimination,
diversity,
governance,
datum,
algorithm,
decision,
impact,
autonomy,
integrity,
dependability,
accuracy,
trustworthiness,
surveillance,
justice,
equality,
right,
protection,
anonymity,
neutrality,
compliance,
oversight,
robustness,
safety,
morality,
deception,
manipulation,
accessibility,
sustainability,
law