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Lecture Eight

Lecture eight.

Housekeeping:

-              Next week-reading week

-              Follow week- indigeous history

-              The week after- another guest speaker.

-              Four more weeks left!

 

Interpretation

-              Stuart Hall, the whites of their eyes, (1995)

o   Theorized how media messages are produced, dissseminated and interpreted

o   Communication is a negotiation between sender, text, and receiver.

o   Dominant discourse exist through preferred readings built in institutional, ideological and political order imprinted on them

o   We “encode: messages with value

o   We decode by interpreting those.

o   How powers the message- the company on the social media

o   People who create, algorithms, drives, creates powerful key values.

-              How do we know what we know

1.        Discover it ourselves

2.        Absorb it implicitly

3.        Told it explicitly- mostly we rely on expertise to inform us.

-              Expertise is a social judgement

-              Experitise is realtve

-              Experts don’t always agree-finite

-              Experts aren’t always right- financial analyst

-              Expertise is usually focused, narrows and specific in one area.

 

Remember to do who/when/where/why? Within the source.

-              Bias, personality, race, ideology, political preseptcive.

-              Fake news- propaganda

-              Governmental propogada within World War Two .

 

Political Knoweldge, of Knoweldge Production and Circulation- lesile Chan.

-               Stuck to the podium- how technology defines our behaviour

-              Recipes- a routine of how to get to do something (Know as an algorithm>)

-              Academia- not made for the average person- trying to out smart each other.

-              Academia- works with reputation, what you publish is what defines you.

-              Knoweldge,  who gets to access their Knoweldge, what Knoweldge is seen as legit.

-              25 years ago internet wasn’t common within their island.

-              Zine- calls into question academia works and how it works.

-              What are the underline challenges? Within algorithm.

 

Timnit Gebur

 

-              AI sounds like it knows something,

-              Generating stuff.

-              Bias within the Ai, or agorthim, I.e gender, sexuality, and race bias.

-              Culture of google- wasn’t thunking about consequences- thinking of Money rather than the over all good for humanity.

-              Distributed AI institute- created by her.

 

Joy Buolamwini

-              Dark skinned people, weren’t able to recognized by facial software,

-              Biased and belivied that they weren’t human.

-              Using a creation of the white mask, Ai was able to read it

-              Ai another way of creating fake crimes.

-              Facial recgonition- highlights the bias within the data base.

-              Women of color- highlights the biased with the data based within google.

-              Google wants peoples attention- mean and nasty- more adiversting money for them.

What is Technology? (Franklin 1921-2016).

-              “technology involves organization, produceres,  symbols, new words, equations and, most of all, a mindset

·      Material

·      Process

·      Interactions

·      Contexts

·      Agency.

-              Technology as a social practice.

Types of technology

-              Holostic technology ((when the doer/user is in control of the work process)

-              “Prescriptive technology (e.g assembly line when the work is divided into specific steps each carried out by separate individuals.- Highligy  efficient.

-              Culture of complainace, technology of control.

-              Canvas- every course looks more or less the same.

-              Controls the learning enviorment, but also a teach enviorment as well

o   Culture of compliance.

Franklin, the studies of technology is an attempt to understand technology practices affect the advancement of justice and peace

It is a study of power, who has control over whom, and how.

Private equity firms- Canvas- can have access of grades, plagiarism scores.

Labour market within A.I

Lack of consent with A.I

Lack of legislation within our rights of AI.

Whitaker 2023

-              Explotation of raccalized people

-              “Prefigured on the Plantation, developed first as technologies to control enslaved people.

-              “ How can we program them to be as cheap and efficient as possible

-              Red lining people

-              Because peer review is not reviewed by people internationally, Is seen as not good enough for the data base of  UOFT library.

-              Knowledge determined by other company understanding of Knoweldge resources.

-              Education should not be comofidation along with  our social relationships.

-              Changes in technology throughout the years.

-              Querying system- who owns it, how as the power to control the system- highlights how to engage in the technology.

 

E

Lecture Eight

Lecture eight.

Housekeeping:

-              Next week-reading week

-              Follow week- indigeous history

-              The week after- another guest speaker.

-              Four more weeks left!

 

Interpretation

-              Stuart Hall, the whites of their eyes, (1995)

o   Theorized how media messages are produced, dissseminated and interpreted

o   Communication is a negotiation between sender, text, and receiver.

o   Dominant discourse exist through preferred readings built in institutional, ideological and political order imprinted on them

o   We “encode: messages with value

o   We decode by interpreting those.

o   How powers the message- the company on the social media

o   People who create, algorithms, drives, creates powerful key values.

-              How do we know what we know

1.        Discover it ourselves

2.        Absorb it implicitly

3.        Told it explicitly- mostly we rely on expertise to inform us.

-              Expertise is a social judgement

-              Experitise is realtve

-              Experts don’t always agree-finite

-              Experts aren’t always right- financial analyst

-              Expertise is usually focused, narrows and specific in one area.

 

Remember to do who/when/where/why? Within the source.

-              Bias, personality, race, ideology, political preseptcive.

-              Fake news- propaganda

-              Governmental propogada within World War Two .

 

Political Knoweldge, of Knoweldge Production and Circulation- lesile Chan.

-               Stuck to the podium- how technology defines our behaviour

-              Recipes- a routine of how to get to do something (Know as an algorithm>)

-              Academia- not made for the average person- trying to out smart each other.

-              Academia- works with reputation, what you publish is what defines you.

-              Knoweldge,  who gets to access their Knoweldge, what Knoweldge is seen as legit.

-              25 years ago internet wasn’t common within their island.

-              Zine- calls into question academia works and how it works.

-              What are the underline challenges? Within algorithm.

 

Timnit Gebur

 

-              AI sounds like it knows something,

-              Generating stuff.

-              Bias within the Ai, or agorthim, I.e gender, sexuality, and race bias.

-              Culture of google- wasn’t thunking about consequences- thinking of Money rather than the over all good for humanity.

-              Distributed AI institute- created by her.

 

Joy Buolamwini

-              Dark skinned people, weren’t able to recognized by facial software,

-              Biased and belivied that they weren’t human.

-              Using a creation of the white mask, Ai was able to read it

-              Ai another way of creating fake crimes.

-              Facial recgonition- highlights the bias within the data base.

-              Women of color- highlights the biased with the data based within google.

-              Google wants peoples attention- mean and nasty- more adiversting money for them.

What is Technology? (Franklin 1921-2016).

-              “technology involves organization, produceres,  symbols, new words, equations and, most of all, a mindset

·      Material

·      Process

·      Interactions

·      Contexts

·      Agency.

-              Technology as a social practice.

Types of technology

-              Holostic technology ((when the doer/user is in control of the work process)

-              “Prescriptive technology (e.g assembly line when the work is divided into specific steps each carried out by separate individuals.- Highligy  efficient.

-              Culture of complainace, technology of control.

-              Canvas- every course looks more or less the same.

-              Controls the learning enviorment, but also a teach enviorment as well

o   Culture of compliance.

Franklin, the studies of technology is an attempt to understand technology practices affect the advancement of justice and peace

It is a study of power, who has control over whom, and how.

Private equity firms- Canvas- can have access of grades, plagiarism scores.

Labour market within A.I

Lack of consent with A.I

Lack of legislation within our rights of AI.

Whitaker 2023

-              Explotation of raccalized people

-              “Prefigured on the Plantation, developed first as technologies to control enslaved people.

-              “ How can we program them to be as cheap and efficient as possible

-              Red lining people

-              Because peer review is not reviewed by people internationally, Is seen as not good enough for the data base of  UOFT library.

-              Knowledge determined by other company understanding of Knoweldge resources.

-              Education should not be comofidation along with  our social relationships.

-              Changes in technology throughout the years.

-              Querying system- who owns it, how as the power to control the system- highlights how to engage in the technology.

 

robot