29 Matching Annotations
  1. Oct 2022
    1. These NLP models are behind every technology using text such as resume screening, university admissions, essay grading, voice assistants, the internet, social media recommendations, dating applications, news article summarizations, machine translation, and text generation.

      With NLP models being used in various settings, the biases being portrayed by these models must be solved quick. Whether people are applying for school, a job, a loan, or even purchasing a home, these NLP models are negatively weeding out those interested simply due to these racial/gender biases.

    2. Using the job applicant names provided in the labor market discrimination study during bias quantification in word embeddings exposes strong negative associations with African Americans as a social group.

      Seeing that a lot of these biases are hurting the labor market, there should be something set in place that can accurately monitor these resumes or applications. It makes you wonder if these same biases are hurting people of color submitting home buying applications or loan applications.

    3. In 2004, a controlled study on labor market discrimination found that resumes that contain uniquely white names receive 50 percent more callbacks for interviews compared to resumes with uniquely African American names with the same qualifications.

      It's disgusting to see how these biases are being almost utilized by these companies. Makes you wonder if they are really opposed to the damage that come with these biases.

    4. For example, sentences that contain words related to kitchen or arts tend to contain words related to women. However, sentences that contain career, science, and technology terms tend to contain words related to men.

      Errors like these seem to be exactly whats wrong with NLP. It doesn't seem to be preventable to make certain words not link to a stereotype or generalization that is harmful to the user. The AI isn't smart enough to see the errors in these as opposed to humans.

    5. Social media platforms automatically decide which users should be exposed to certain types of content present in political advertisements and information influence operations, based on personality characteristics predicted from their data.

      After mentioning social media earlier, I have to reiterate how NLP can be used to rid the users timeline of information they don't want to see such as certain political ads or keywords.

    6. Technology companies that develop cutting edge AI have become disproportionately powerful with the data they collect from billions of internet users

      This much information being collected makes me wonder how useful that whole "Do Not Sell My Information" link that pops up at the bottom of pages is. Does opting out of selling your information really get you out of their system?

    7. Amazon soon abandoned the automated recruitment tool after they discovered the bias.

      NLP seems to be a useful model. Although there will always be kinks in technology, for example Amazon's resume screening. I can see Natural Language processing to be useful in the sense of social media presence. By using Natural Language Processing to weed out any harmful words social media would become a lot safer.

    8. nsupervised artificial intelligence (AI) models that automatically discover hidden patterns in natural language datasets capture linguistic regularities that reflect human biases, such as racism, sexism, and ableism.

      The use of AI capturing racism and sexism reminds me of how video games are able to do the same. Whether someone types or says something hateful, there is a way to report them which leads to an AI checking whats reported and following up with the player.

  2. Nov 2020
    1. The top 10 percent owns 86 percent of the wealth, while the top 20 percent owns 94 percent of the wealth. Meanwhile, 80 percent of the population is experiencing stagnating and declining wages.

      Seeing the difference in wages is crazy. What we're making literally wouldn't even make a dent in all of the richest people's pockets

    2. Black intelligence is always guilty before proven innocent in the court of the life of the mind: The Bell Curve2 is just a manifestation of the cycle.

      This read is really moving. This statement in specific really caught my attention because it is a sad truth.

    3. In any discussion about race matters it is vital to situate yourself in a tradition, in a larger narrative that links the past to the present. When we think of Sojourner Truth, Harriet Tubman, Ida Buelle Wells-Barnett, A. Philip Randolph, Marcus Garvey, Ella Baker, James Baldwin,1 and so many nameless and anonymous ones, we cannot but be moved by their standards of vision and courage. They are wind at one’s back.

      I feel as if a lot of the individuals listed are often overlooked for what they accomplished while they were still alive.

  3. Oct 2020
    1. During the past several decades the word has been appropriated to describe a type of online content that is usually visual and takes on a particular aesthetic design, combining colorful, striking images with block text. It often refers to other cultural and media events, sometimes explicitly but mostly implicitly.

      It's interesting to see how the word 'meme' has evolved.

    2. Hate-filled posts aimed at the Muslim community would proliferate, the speculation and outrage boosted by algorithms responding to unprecedented levels of shares, comments and likes.

      I hate how everyone is so quick to turn something like terrorist attacks to automatically try to degrade the Muslim community.

    1. These workers will adeptly combine technical skills with interpersonal interaction, flexibility and adaptability to offer services that are uniquely human.

      At the end of the day, there are just some tasks that can be completed more accurately by humans than computers

    2. this category includes numerous jobs for people in the skilled trades and repair: plumbers; builders; electricians; heating, ventilation and air-conditioning installers; automotive technicians; customer-service representatives; and even clerical workers who are required to do more than type and file.

      A lot of my friends have.chosen to take the skilled trades route instead of the 4 year college route and I think that trades are becoming more and more popular.

    3. Preparing a meal, driving a truck through city traffic or cleaning a hotel room present mind-bogglingly complex challenges for computers. But they are straightforward for humans, requiring primarily innate abilities like dexterity, sightedness and language recognition, as well as modest training. These workers can’t be replaced by robots, but their skills are not scarce, so they usually make low wages.

      In this sense, computers will never be able to fully take over every day tasks. But in the future, the advancements made by technology have no limit.

    4. Labor-saving technological change necessarily displaces workers performing certain tasks — that’s where the gains in productivity come from

      This statement makes you think how the world would look like if labor-saving technology took over everyday jobs such as fast food or grocery workers.

    5. In 1900, for example, 41 percent of the United States work force was in agriculture. By 2000, that share had fallen to 2 percent, after the Green Revolution transformed crop yields.

      It's interesting to see how technology has changed the work force.

  4. Sep 2020
    1. at a given time and among a certain population, an item has a market value that does not depend on whether one owns it or not

      Seeing how something such as fashion can become such a trend when it comes in such limited quantities really puts the statement in perspective for me.

    2. “We would all like to have a warning bell that rings loudly whenever we are about to make a serious error,” Kahneman writes, “but no such bell is available.”

      It would be interesting to see how the warning bell would alter life as we know it. I think the bell could really help everyone take a step in the right direction.

    3. Most of them have focused on money. When asked whether they would prefer to have, say, $150 today or $180 in one month, people tend to choose the $150.

      I've noticed that when given two different opportunities like this one, many people tend to go with the one that they can cash in on the soonest.

    1. Critics like to say the Internet causes our minds to wander off, but we’ve been wandering off all along.

      Although I do agree with this statement, I kind of disagree because anything can cause the mind to wander off.

    2. To read silently is to free your mind to reflect, to remember, to question and compare.

      Reading silently is really relaxing. It just feels like you're in your own little world while you engage in the text.

    3. , he was stunned to see him looking at a book and not saying anything.

      Reading in my head is an easier way to actually soak up the text. I can see how it'd be weird to see someone just staring at a book without saying anything for the first time.

  5. Aug 2020
    1. It would be much safer, Plato thought, to entrust power to carefully educated guardians.

      Plato's idea of electing new leaders is interesting. I like the reasoning behind his idea it does sound logical.

    2. Fairness alone didn’t seem to be enough. If it were, Estlund wrote, “why not flip a coin?”

      This is an interesting method to choose a high form of power by the flip of a coin. It makes sense and does seem like a fair way to elect a new leader, but I like that we get to choose because people have different opinions.

    3. About as many are incapable of naming even one of the three branches of the United States government.

      It's crazy that most people don't know the three branches of government. I don't know too much about government myself but I remember learning about the branches of government in elementary school.