Future of Biases
What college is creating ways to mitigate bias that was mentioned in the presentation?
What is MIT
This refers to when an algorithm produces unfair or discriminatory outcomes, often reflecting or reinforcing existing social biases
Algorithmic bias
The three ethical theories we used to examine ethical impacts.
What are Utilitarianism, Deontology, and Ethics of Care?
This stage in machine learning focuses on cleaning and balancing data before model training
Pre-Processing
This company has been accused of having gender bias after algorithm decided that woman should on average have a lower credit limit.
Who is Apple?
What does ECAT stand for?
What is the European Centre for Algorithmic Transparency
This type of bias can be introduced when the people designing systems have subjective assumptions that influence the outcomes.
Cognitive Bias
I want my users to get content that they would like to see, so I will examine the topics they frequent and push content of that nature towards them.
What is a way of designing an algorithm with the Ethics of Care in mind?
Developed by IBM this open sourced toolkit provides over 70 fairness metrics and bias mitigation algorithms
What is TikTok?
True or False: Are there toolkits that help mitigate biases?
What is True
This type of bias takes place when data teams extrapolate what is true of individuals to entire groups the individual is or is not part of.
Group Attribution Bias
Tipping the scales in my favor is fine, even though it lowers the quality of my results when searching for something, and by extension, the usefulness of it.
What is a statement this violates Utlilitarianism/Outcome based ethics?
This proposed U.S law requires companies to audit and disclose the impacts of their automatic algorithm systems
Algorithmic accountability act
Despite giving you recommendations about certain flights, we recommend ours first.
What is Self-Preferencing?
Under the European Centre for Algorithmic who are required to check for biases?
This type of bias occurs when data is taken out of context due to misleading averages or simplification
Aggregation bias
I think if I wanted to use a product, I would like to get answers that told me what is closest to objective fact. So, I would make my search engine provide that.
This research institute at NYU focuses on the social implications of AI
Ai now institute
You are tasked with promoting one of two equally skilled team members. One candidate is in their early 30s, and the other is in their late 50s. Without looking deeply into their individual performance records, you favor the younger candidate, reasoning that they might be more adaptable to new technologies.
What is Ageism?
What part of the process is data processed for biases under the new MIT Research?
This bias occurs when the data used to train an algorithm does not represent the full population, often leading to poor performance on underrepresented groups.
Representation Bias
Swaying the flow of data to control a narrative is something that is fair.
What is a biased opinion?
This IEEE standard provides ethical guidelines for reducing bias in algorithmic systems
IEEE P7003
This shopping site’s algorithm tracks users interest and shopping habits, but recommends its own products over other products.
What is Amazon?