2016, the investigative journalism outfit ProPublica showed that software used across the United States to predict future criminals was biased against African-Americans.
the ai biases stay the same until today. This shows that ai's bias won't change unless we do something or fix it.
But by codifying the human selectors’ discriminatory practices into a technical system, he was ensuring that these biases would be replayed in perpetuity.
why the bias happened
If their names were non-Caucasian, the selection process was weighted against them. In fact, simply having a non-European name could automatically take 15 points off an applicant’s score. Within a few years, some staff members had become concerned by the lack of diversity among successful applicants.
of course the program was biased from the beginning. I believe it just proves where ai bias started even better
In the 1970s, Dr. Geoffrey Franglen of St. George’s Hospital Medical School in London began writing an algorithm to screen student applications for admission.
The start of AI being used in institutions, I believe it was a breakthrough and at the same time, a start of a program bias
large gender and racial bias in AI systems sold by tech giants like IBM, Microsoft, and Amazon.
more accidental insitituional racism as companies are feeding wrong information and training data into the AI without knowing.
The underrepresentation of women and people of color in technology, and the under-sampling of these groups in the data that shapes AI, has led to the creation of technology that is optimized for a small portion of the world.
This is important as it is one of the main reasons for the poor, biased, decisions of the ai code. It is also instutuional oppression as it is the comapny deciding who to test for their ai data, even if it is an accident. i think with a bigger diversiety of testers, ai will be mroe ethical and omptimized for everyone to use. i feel hopeful
systems that amplify, rather than rectify, sexist hiring practices, racist criminal justice procedures, predatory advertising, and the spread of false information.
interpersonal oppression as these negative outcomes of ai influence others ideas. i think those ideas are then used in places like governments and law enforcement
The researchers found that the participants who received the fake AI suggestions went on to incorporate the same bias into their future decisions, even after the guidance was no longer offered.
the fictional AI mistakes gradually changed the mind of the users of it just with a few suggestions.
again i am amazed how it can manipulate people so easily
Matute and Vicente offered subsets of the participants purposefully skewed suggestions that, if followed, would lead them to classify images incorrectly. The scientists described these suggestions as originating from a “diagnostic assistance system based on an artificial intelligence
this is an important part of the article that shows one of the real examples of when people believe AI without thinking
For example, when the technology publication Rest of World recently analyzed popular AI image generators, it found that these programs tended toward ethnic and national stereotypes.
important as there are already clear examples of bias in AI
it is astonishing for such a recent product to do this.
AI can also display biases that get introduced through the massive data troves that these programs are trained on
important becuase its how it starts'
i am amazed by how easily a good program can be corrupted by false data
Past studies have demonstrated that biased AI can harm people in already marginalized groups.
important as its already shown that ai harms people
irst in groups are the groups you belong to they're your social identities your hometown religious affiliation school those are 00:01:46 your in-groups they're part of who you are so then out groups are the groups we don't belong to like i'm from the united states and so for me canadians are my out group growing up i was a cubs 00:01:59 fan and so sox fans would be my out group
summary of social identity theory
he found that just creating groups any group arbitrarily was enough for prejudice to emerge
important
two key biases 00:05:21 in-group favoritism and out-group derogation
important
street one of the core reasons we identify with groups is because it makes us feel better about ourselves
important
Summary and words from image to copy and paste <br /> Prejudice can be conscious or unconscious and involves stereotypes, prejudgments, and beliefs (which are usually negative) about a group of people. These beliefs can be based on: race, sex, gender, religion, culture, disability, sexuality, etc. Keywords: Negative beliefs, assumption, stereotypes, Racism Sexism, Ageism, Classism, Homophobia, Nationalism, Religious, prejudice, Xenophobia
european cities
do not use grid street methods and are radial
00:00:35 the standard of health comfort and happiness experienced by an individual or a group
quality of life definition
WHAT DO WE MEAN BY UNDERSTANDING AND DESCRIBING THE COMMUNITY?
physical aspects,infrastructure, patterns of settlement, commerce, and industry, demographics, history, community leaders, community culture, existing groups, existing institutions, economics, government/politics, social structure, and attitudes and variables. Are the keywords
Thanks for watching guys.
age, ability, ethnicity, race, gender, sexual orientation, socioeconomic status, and religion are the 8 things that make up your social identity
We develop ideas about our identities and the identities of others through our interactions with people close to us, like our family and friends, our schools and other institutions, the mass media, and our encounters with other individuals.
this is important
knowing who you are what your values are and being proud of all those things creates your identity
this is important\