a time for empowerment stanley greenstein doctoral student, iri [email protected]
TRANSCRIPT
The linguistic footprint
● Premise: each human being uses language differently
● Collection of identifiers that stamps the writer as unique
● Reconstructed from a persons daily interactions
● Can be connected to a variety of personality characteristics, situation variables, and physiological (psychological) markers
The issue?
● Information collection
● Information is stored, aggregated, data-mined, analysed
● The algorithm
● A consequence of category
The crux of the matter:1) The algorithm determines the category2) The category determines the consequence
Social sorting cont. Category1:
”Always-buys-a-ticket-late”
Category 2:”Wealthy”
Category 4:”frequent-flyer-loyal-customer”
Category 3:”Terrorist”
Consequence:• Higher priced ticket• Lower priced ticket• Not allowed to fly• Special treatment
Airline company
Context: price discrimination
● “to charge different prices to various customers for the same goods or services”
● Some assumptions:– Profit, not control– Similar goods or services can attain varying price tags
depending on the conditions under which they were purchased
– Arbitrage disliked– Less information about a purchaser limits price
discrimination possibilities– Negative connotation even illegal– Modern technology facilitates price discrimination
Interstate Commerce Act 1887
● Rates to be just and reasonable
● Personal discrimination forbidden
● “Undue or unreasonable preference” forbidden
● charging more for a short haul than a long haul forbidden
● pooling forbidden
● rates were to be published
● impediments to continuous travel of freight forbidden
Interstate Commerce Commission
• Railroad companies forced to provide the Commission with details of tariffs and fairs on a continual basis and provide notification in the change of these fares
• The Commission was tasked with oversight of the railroad industry and had the power to call upon various forms of information from the railroad companies as well as call witnesses
The price
100 SEK
Maximal
willingness
to pay!
Assumption:More information about customers, means less privacy, which allows for increased price discrimination
Example 1:The Netflix recommendation
Netflix algorithm
Example 2:…in relation to the state…
“Issue”?
Institutions know more about us
than we know about ourselves!
…and many, many more
Insurance co.Social media
SupermarketLaw enforcement
Bank
Definition
em·pow·ertransitive verb \im-ˈpau;(-ə)r\ : to give power to (someone): to give official authority or legal power to (someone)
http://www.merriam-webster.com/dictionary/empowerment
EMPOWERMENT● Knowledge (incl. rights)
● Transparency
● Non-arbitrarness
● Criteria (relevance)
● Fairness
● Accountability
● Enforcement
● Challenge forum
● Technology