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intellectual property
a general term for categories of rights in intangible creations of the mind
-Establishes protectable legal interests in the goods and services sold by IP owners and the technology and know-how used to produce them.
4 types of intellectual property
trade secrets, patents, trademarks, copyrights
patent
A patent is a right granted by governments to an inventor for a limited time to exclude others from:
Making, using, offering for sale, or selling the invention in that country.
Importing the invention into that country.
utility patents are the most common type but there is also design
-does not last forever (20 for utitlity, 15 for design)
invention, application, examination, allowance
Trademark
identifies which person or company is the source or origin of goods and services and distinguishes the trademarked goods and services from those made or sold by others
-can take the form of names, brands, symbols, colors(trade dress), sounds and scents
-can get from registration, use, or assignment
-rights are territorial, limited to specific good and services, and you must police your trademarks
copyright
Copyright protects works of authorship that are:
Fixed in any tangible form or medium of expression.
Original in the sense that they are
:• Independently created by the author (or authors).
• At least minimally creative
-protects literary works, music works, dramatic works, art works, ect
-does not protect ideas, systems, methods, or processes
-registration not required unless your are bringing a suit for infringement on U.S work
trade secret
A trade secret is:
Business, financial, and technical information.
Kept confidential by its owner through reasonable efforts.
Economically valuable because the information is not generally known
ex: coca-cola recipe, kfc recipe, adobe photoshop
-not registered; protected by making reasonable efforts to keep info confidential
-protection lasts forever until someone finds out
Computer errors: Operational
examples: southwest airlines data center failed and took 4 days to fix, resulting in over 2,000 canceled flights
Starbucks computer failure shut down 8,000 stores for a day
-knight capital lost 440 million in 45 minutes due to a program trading error
-Chernobyl power plant explosion in 1986 due to the failure of a test program; 30km radius will be contaminated for thousands of years
computer errors: data entry and retrieval
-examples: florida disqualifies voters for the 2000 election, becase a database said they were felons even though the committed misdemeanors
-national crime information center had errors that led to false arrests
computer errors: billing errors and malfunctions
Qwest billing software bug caused it to charge $600 per minute for cell phone usage
Renters in NYC were over-charged-Threatened with eviction when refused to pay
450 Prison inmates with a high risk of violence were mistakenly released after being identified by a program to reduce overcrowding.
computer errors: pricing errors
amazon offered new ipaq computers for 7 pounds instead of 275 pounds.
-they refused to fill orders
computer errors: real time system errors
Mars Climate Orbiter- One team used metric units, the other English units
Ariane 5 rocket -Software reuse from Ariane 4 led to counter overflow
T&T 1990 long distance network crashn Server crashes, reboots, sends out "OK" message
Levels of Automation
0: none
1: driver assistance- Small things like help with braking
2: partial automation - More driver assistance; person still in charge
3: conditional automation- Mostly automated, but expect driver to respond in an emergency
4: high automation
5: full automation
Tesla Autopilot and design considerations
May 2016 fatal accident
Level 3 conditional automation
System not fully automated, but driver using it as if it were.
Is it OK to prioritize the safety of occupants over people outside the car?
Who is legally responsible when an accident occurs?
Shrink Wrap Warranties
Consumer (off the shelf) software
Often don't promise that software will work
Limit liability only to purchase price
warranties on goods
a product manufacturer or service provider's documented guarantee of quality as promised to a customer.
Boot example: seller told man boots were waterproof. man wore boots; they were not; he got a fungal infection; Since the boots were not as promised, the seller will be liable for the value of the boots, plus any loss associated with the resulting physical harm.
internal realism
how do we know there is a desk here?
We are all trapped in our subjective perceptions, But our subjective perceptions oddly agree
Assumption: the world exists- Our subjective perceptions agree because the desk exists
Epistemology
study of knowledge
knowledge is justified, true belief
-evidentialism
-reliabilism
-virtue epistemology
epistemology: evidentialism
all beliefs must be supported by evidence
Some beliefs are basic and justified
Nonbasic beliefs are formed by inference from basic ones Can be hard to follow the chain of evidence all the way down to basic beliefs
Reliabilism
A belief is reliable if it is the result of a reliable cognitive process
A reliable process is one that generally leads to correct outcomes
Example: two bird watchers
"Compare a novice bird-watcher and an expert walking together in the woods, seeking out the rare pink-spotted flycatcher. A bird flies by and each person spontaneously forms the belief that there is a pink-spotted flycatcher there. The expert knows this to be true but the novice is jumping to a conclusion out of excitement. The expert has a well-founded belief but the novice does not."
Virtue Epistemology
Knowledge is an achievement
The result of "competent cognitive agency"
Epistemic virtues include:
Curiosity, Intellectual autonomy, Intellectual humility, Attentiveness, open mindedness
social Construction of knowledge
The process of something becoming socially accepted is the process of it becoming a fact
-knowledge is collaborative
peer review
How carefully something is reviewed is a measure of how reliable it is Standard practice for journal articles and peer-reviewed conference articles
three expert reviewers
Wikipedia vs peer review
The more a page gets attention, the more carefully reviewed it is
Journal article: Three expert reviewers, Once published, fixed and can't be updated.
Wikipedia: Non-expert reviewers, Number of reviewers varies Can be updated continuously.
Wikipedia faults
-subject to many biases (selection, participation, group think, gender, racial)
Revenge editing: Inserting false, biased, or defamatory content into articles, especially articles on living people
citogenesis: Journalist looks something up on Wikipedia; Writes article without citing it; Someone trying to improve Wikipedia looks for citations; Finds journalist's article!
John Snow and Cholera
Cholera epidemics in London, mid 1850s
John snow was able to find out the cause of cholera with a good visualization of data (he decided to make a graph of all individuals on a map)
-he noticed these people were mainly centered around the broad street pump
-an outlier proved it was from the broad street pump because lived far away but had servants go to get water from that pump
Challenger Case Study
The rubber o-ring seals used in the rockets are normally flexible and elastic, which allows it to work.
-when it is cold however, they become brittle and shrink
-it was going to be really cold, and the engineers knew this was going to be a problem
-they sent NASA a warning report to urge them to reschedule the launch, but the Report was very hard to read and showed not many signs of credibility
-NASA, was in a lot of pressure to launch on time, and they didn't really understand the report, so they went on with the launch, and the challenger exploded right after takeoff
Algorithmic bias
Implicit bias: we may not be aware that we are biased; introduce math test and describe it as hard: men out perform women; if nothing is said: there is equal performance
search engine bias: ads for exec jobs are displayed less to women; searching for doctors shows mostly men; 3 black teenagers vs 3 white teenagers
AI & the Justice System
parole sentencing recommendations
predictive policing: predicting crimes, offenders, victims
tends to reinforce racist status quo
Bias and Robotics
Military robots can make life or death decisions- Failures of computer vision on dark skin make fatal errors more likely Driverless cars
Medical robots- Medicine requires value judgments- Example: triage
Explainable AI
is artificial intelligence that is programmed to describe its purpose, rationale and decision-making process in a way that can be understood by the average person.
Bias in ML datasets
Reporting bias- Example: book reviews are strongly positive and negative
Automation bias-People believe results from an algorithm more, even if it's not merited
Implicit bias- Assumptions based on your own assumptions that don't hold more generally
confirmation bias- Unconsciously affirm your own beliefs Experimenter's bias- Keep refining what you're building until it gives the answer you expected
selection bias- data selected is not representative
in group bias- bias in favor of people like you
out group bias- stereotyping people not in your group
FISA
Foreign Intelligence Surveillance Act
-Watergate: nixon spied on opponents
-lead to fisa
Without a court order: President (through attorney general) may authorize surveillance for one year, as long as there is "no substantial likelihood" that it will include communications to which a US person is party
With a court order (from FISA court) -If US person is party, need a court order within 72 hours of starting surveillance Must demonstrate probable cause; Target must be affiliated with a foreign power
Patriot Act
This law passed after 9/11
Gives federal government and intelligence agencies more authority to monitor communications
Gives secretary of the treasury greater powers to regulate banks To prevent money laundering
Makes it more difficult for terrorists to enter the US
Defines new crimes and penalties for terrorist activities
-warrantless search
-sneak and peak, tracking online info
NSLs
National Security Letters
Subpoena of personal records without probable cause
Originally aimed at espionage suspects
Now can be used on anyone, even if not suspected of criminal activity
Can prohibit recipient of request for info from revealing this (gag order)
Gag order ruled unconstitutional by lower court in 2007
FBI drops NSL request in that case, rather than appealing
section 215 patriot act
FBI can collect records of business, medical, education, library, and religious institutions
Don't need to demonstrate probable cause Institution can't reveal existence of warrant, or tell anyone what info they gave the government
Brandon Mayfield
A lawyer and convert of Muslim, was held for two weeks before the Spanish investigation revealed that the print instead belonged to an Algerian
-alleged perpetrator in Madrid train bombing
Bush v Gore case study
Hanging chads- Votes not counted if didn't punchall the way through
Butterfly ballots - Bad design
- Lots of votes registered for Buchanan in a strongly democratic county
Difference changed the outcome of the election
Florida database error
Some voters incorrectly identified as felons with no right to vote Also enough to change election result
2020 election case study
Highest voter turnout since 1900
Biden received 81 million votes, most votes ever cast for a presidential candidate
Record number of votes cast early orby mail (because of pandemic)
Republicans claimed widespread voter fraud
Attorney General William Barr: no evidence of widespread fraud or irregularities
Federal agencies - most secure election in American history 63 lawsuits in several states dismissed or withdrawn
Dominion and Smartmatic Voting Systems lawsuits
Promoting election integrity
Paper records or voter verified paper backups
audits (inspection)
Risk-limiting audits (RLAs) should be done by hand
evoting
Pros: accessibility
Richer people have more access
Voter privacy
Same system authenticates voter and records voten
Possible vote selling
Vulnerability to denial of service attacks
Vulnerable to security problems on home PC
Vulnerable to hackers
Experts argue there is no way to make evoting safe
Net Neutrality
The principle that Internet service providers should enable access to all content and applications regardless of the source, and without favoring or blocking particular products or websites
Zero rating
Free net connection, just for this one service
facebook free basics
wikipedia zero
Free Market vs consumer protection on internet access
consumer protection would be in favor of net neutrality, free market would be in favor of companies against net newutrality
Automation
pros: produces items quicker, reduces costs
cons:loss of jobs (manufacturing, pharmacy, law firms, teaching assistants
changing relationship with the workplace
longer work weeks
bringing more work home with emails, cell phones
organizations used to be more hierarchal but are now flatter and more connected
telework: improved with covid. increased productivity, improved child care expenses, less gas emissions, more distractions, difficulty scheduling meetings
The gig economy: service workers who complete short-term jobsfor clients, usually relying on a company to connect them (uber, door dash)
Globalization
pros:
Can increase everyone's standard of living
Each country has a specialty
Increases competition-Better prices for consumers
People in poorer countries deserve jobs too
cons:
American workers shouldn't have to compete with foreign workers who do not receive decent pay and working conditions
Globalization increases the rate of US job loss overseas Foreign workers also hurt by globalization
no unions for foreign workers
Race vs. Ethnicity
Race is understood by most people as a mixture of physical, behavioral andcultural attributes. Ethnicity recognizes differences between people mostly on the basis of language and shared culture
Technologies with racial bias
mage recognition returns a photo of a Black person on a search for gorilla
Apple Watch doesn't work with darker skin
Asians seen as "blinking"
In video games: not much representation, non whites are usually evil
fighting technological racial bias
Hire more diverse designers and developers
Include diverse groups in testing and user research
Be aware of your own privilege