The Consequences of AI in Everyday Life from a Sociological Lens

00:30:50
https://www.youtube.com/watch?v=Ai2CoT7xGu4

Resumo

TLDRThis video discusses the sociological implications of Artificial Intelligence (AI) in everyday life, covering various aspects such as employment, social interactions, surveillance, ethics, economic inequality, and social norms. It highlights AI's dual effects on labor markets, where it can enhance productivity but also displace jobs. The changes in social relationships caused by AI, including the use of filters and chatbots, raise concerns about authenticity and connection. Ethical issues surrounding AI's decision-making capabilities, its potential to exacerbate economic disparities, and the evolution of social norms in a digital society are also explored. The video concludes that AI represents a form of creative destruction, bringing forth more questions than answers regarding its integration into our lives.

ConclusΓ΅es

  • πŸ€– AI impacts everyday life by enhancing productivity and efficiency.
  • πŸ’Ό AI could create new job opportunities while potentially displacing others.
  • πŸ‘₯ Social relationships are influenced by AI through filters and digital interactions.
  • πŸ” AI raises ethical questions regarding moral decision making and accountability.
  • πŸ’° Economic inequality may worsen due to unequal access to AI technology.
  • πŸ‘οΈ Surveillance capabilities of AI lead to privacy concerns.
  • πŸ†• New social norms are likely to emerge with the rise of AI in society.
  • πŸ“ˆ Understanding AI is crucial for navigating its implications on work-life balance.
  • πŸ’” AI may not replace the emotional depth of human companionship.
  • ❓ The future of human-AI interactions is uncertain and thought-provoking.

Linha do tempo

  • 00:00:00 - 00:05:00

    Ash introduces herself as a social scientist discussing the implications of AI in everyday life from a sociological perspective, while also indicating her goals for improving content creation and gaining subscribers before the end of the year.

  • 00:05:00 - 00:10:00

    The video explains what AI is, defining it as technology enabling machines to mimic human intelligence. The definition is simplified for better understanding, while giving examples of AI in daily life, like chatbots and navigation systems.

  • 00:10:00 - 00:15:00

    The first sociological implication of AI discussed is its impact on labor markets. AI can boost productivity but may also lead to job losses, raising questions about the types of jobs AI will create or eliminate, particularly in repetitive task roles, as technology changes the required skill set.

  • 00:15:00 - 00:20:00

    Ash touches on AI's influence on social relationships, highlighting the impact of social media filters and AI algorithms on personal interactions. She notes the mixed effects of AI on user experience, expressing concerns over misinformation, exploitation in customer service, and the unique connection experienced with human relationships compared to AI.

  • 00:20:00 - 00:25:00

    The discussion turns to surveillance and ethics, emphasizing AI's role in monitoring individuals and the ethical implications of such technology. The potential for AI-enabled privacy invasion is highlighted, alongside ethical dilemmas like bias in AI decision-making and accountability for AI errors.

  • 00:25:00 - 00:30:50

    The final implications discussed focus on economic inequality and changing social norms. Ash reflects on access to AI technology, the potential for widening income disparities, and how AI might change societal behaviors and expectations, concluding that the rise of AI brings many more questions than certainties.

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VΓ­deo de perguntas e respostas

  • What is AI?

    AI (Artificial Intelligence) refers to the simulation of human intelligence in machines that are programmed to think and act like humans.

  • How does AI impact employment?

    AI can automate routine tasks, leading to increased productivity but potentially decreasing job opportunities.

  • What are some examples of AI in everyday life?

    Examples include chatbots, digital assistants, navigation systems, and robots in healthcare.

  • How does AI affect social relationships?

    AI influences social relationships through personalized content recommendations and replaces some human interactions.

  • What are the ethical concerns regarding AI?

    AI raises issues of bias, accountability, and the ability to make moral decisions.

  • How does AI contribute to economic inequality?

    AI may worsen income inequality due to unequal access to technology and education.

  • What are social norms in relation to AI?

    AI can change social norms, such as our expectations of communication and authenticity online.

  • Can AI replace human companionship?

    While AI can simulate companionship, it may not provide the same emotional depth as human connections.

  • What is the trolley problem in the context of AI?

    The trolley problem is an ethical dilemma that questions whether AI can make moral decisions when faced with life-and-death situations.

  • How does AI impact privacy?

    AI can enhance surveillance capabilities, leading to concerns about privacy and data collection.

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  • 00:00:00
    hi friends I'm Ash I'm a social
  • 00:00:02
    scientist and sometimes I make videos
  • 00:00:04
    about sociological topics and sometimes
  • 00:00:06
    I make Vlogs today we are talking about
  • 00:00:09
    the consequences of AI artificial
  • 00:00:11
    intelligence in everyday life from a
  • 00:00:13
    sociological lens so let's get into the
  • 00:00:17
    video and yes I am wearing the same
  • 00:00:20
    outfit from either the past video or the
  • 00:00:22
    next video because I am trying to batch
  • 00:00:25
    content a bit better especially because
  • 00:00:27
    we're going to New Zealand for a couple
  • 00:00:28
    of weeks in November and I just want to
  • 00:00:32
    get a bit more into the groove of making
  • 00:00:34
    content and try and do better and with
  • 00:00:36
    that being said I am also trying to get
  • 00:00:38
    to 1,000 subscribers before the end of
  • 00:00:41
    the year that is one of my 2024 goals so
  • 00:00:44
    if you enjoy my content I would love it
  • 00:00:46
    if you subscribe to the channel anyway
  • 00:00:49
    as always I've written a blog post about
  • 00:00:51
    this and I'm just all about repurposing
  • 00:00:54
    content right now so uh I'll link the
  • 00:00:57
    blog post down below so you can read
  • 00:00:59
    that as well if you like I'm not like
  • 00:01:03
    perfect always looking at the camera I
  • 00:01:05
    am practicing and getting better and
  • 00:01:07
    getting more confident so thank you to
  • 00:01:09
    those who are supporting me on this
  • 00:01:12
    journey but yeah uh let's talk about the
  • 00:01:15
    consequences of AI in everyday life but
  • 00:01:19
    first what is AI so according to
  • 00:01:22
    Wikipedia AI in its broadest sense is
  • 00:01:25
    intelligent exhibited by machines
  • 00:01:27
    particularly computer systems it is is a
  • 00:01:30
    field of research and computer science
  • 00:01:32
    that develops and studies methods and
  • 00:01:34
    software that enable machines to
  • 00:01:36
    perceive their environment and uses
  • 00:01:38
    learning and intelligence to take
  • 00:01:40
    actions that maximize their chances of
  • 00:01:43
    achieving defined goals and if there's
  • 00:01:45
    an updated definition in Wikipedia I'll
  • 00:01:48
    put it on the screen here for you but
  • 00:01:50
    let's break it down for us like
  • 00:01:52
    simple-minded folk because AI obviously
  • 00:01:55
    isn't my area of expertise but uh one of
  • 00:01:59
    the things that I want to do in life or
  • 00:02:01
    before I turn 30 which is very soon um
  • 00:02:04
    is learn a lot more about AI I'm just
  • 00:02:07
    kind of curious so IBM describes AI as
  • 00:02:10
    technology that enables computers and
  • 00:02:12
    machines to simulate human intelligence
  • 00:02:16
    and problem solving capability so to me
  • 00:02:19
    that means AI is a type of computer
  • 00:02:21
    software that is kind of replicating
  • 00:02:23
    what we do as humans so we don't have to
  • 00:02:26
    think as much um and I keep seeing lot
  • 00:02:30
    of memes about people wanting AI to do
  • 00:02:32
    their mundane task like the dishes and
  • 00:02:34
    washing and whatnot uh so they can write
  • 00:02:36
    and make art but what AI is doing is
  • 00:02:40
    doing their writing and making art not
  • 00:02:42
    very good art um it's a bit of like
  • 00:02:44
    plagiarism basically so some examples of
  • 00:02:48
    AI that we have in everyday life and
  • 00:02:50
    we've had for a while are chat bots so
  • 00:02:52
    chat G GPT um digital assistant so Siri
  • 00:02:58
    Okay Google I don't want to go too much
  • 00:03:00
    into detail about what these are because
  • 00:03:03
    obviously most of us that's common
  • 00:03:04
    knowledge navigation so Google Maps
  • 00:03:07
    Apple MC Apple Mac Apple Maps um use AI
  • 00:03:12
    to direct it or direct where we're going
  • 00:03:16
    never really thought about maps's AI
  • 00:03:19
    until now which is interesting and
  • 00:03:22
    according to
  • 00:03:24
    mdpi uh navigation is a science and
  • 00:03:27
    technology of accurately determining the
  • 00:03:30
    position and velocity of an Airborne
  • 00:03:32
    land or marine vehicle relative to a
  • 00:03:35
    known reference wherein the planning and
  • 00:03:37
    execution of the Maneuvers necessary to
  • 00:03:40
    move between desired locations are
  • 00:03:42
    analyzed smart artical robotics that's a
  • 00:03:47
    example of AI like making
  • 00:03:50
    robots some examples of that uh before I
  • 00:03:54
    talk about the examples is that I think
  • 00:03:57
    Robotics and AI are very two different
  • 00:03:59
    dis
  • 00:04:00
    disciplines um that's not to say they
  • 00:04:03
    don't overlap but um robotics is a
  • 00:04:06
    branch of Engineering in computer
  • 00:04:08
    science where people build machines like
  • 00:04:10
    little robots who can operate without
  • 00:04:13
    human intervention or will not too much
  • 00:04:17
    and the reason these robots are built is
  • 00:04:19
    so that they can carry out the tasks
  • 00:04:21
    that humans would get fatigued by and
  • 00:04:23
    obviously I've already defined AI so I
  • 00:04:25
    won't bore you with that AI in robotics
  • 00:04:28
    is currently a minority but there are
  • 00:04:30
    some examples so uh the household
  • 00:04:34
    product Amazon's astrobot I'll put in
  • 00:04:37
    like pictures or links uh so you know
  • 00:04:38
    what I'm talking about so robots and
  • 00:04:40
    Manufacturing and there's even robots in
  • 00:04:43
    healthcare uh one robot is known as or
  • 00:04:46
    not one robot but there's robots known
  • 00:04:48
    as Waldo surgeons and they help with
  • 00:04:50
    surgery and the name is actually
  • 00:04:54
    inspired from a Sci-Fi short story
  • 00:04:57
    called Waldo from Robert a heinan who
  • 00:04:59
    was is a very uh famous uh sci-fi writer
  • 00:05:03
    or author um I don't know if he is still
  • 00:05:06
    alive so let's have a look no he's he's
  • 00:05:11
    definitely not alive anymore born in
  • 00:05:13
    1907 and died in 1988 but yeah very very
  • 00:05:18
    very good Sci-Fi writer if you like
  • 00:05:21
    sci-fi I recommend checking him out
  • 00:05:23
    anyway Healthcare uh facial recognition
  • 00:05:27
    autonomous vehicles like a self-driving
  • 00:05:30
    car and even search engines so those are
  • 00:05:33
    the examples of like AI in everyday life
  • 00:05:36
    now that we have a bit more context to
  • 00:05:38
    what AI is let's take a bit of a deeper
  • 00:05:40
    dive into the consequences or
  • 00:05:42
    implications or whatever you want to
  • 00:05:44
    call it of AI in everyday life from a
  • 00:05:47
    sociological lens and I feel like I have
  • 00:05:49
    to apologize because sometimes I talk
  • 00:05:51
    with my hands and sometimes I don't and
  • 00:05:54
    yeah I think my personality is just a
  • 00:05:57
    little bit all over the place a little
  • 00:05:59
    bit rustic and a little bit awkward and
  • 00:06:02
    a little bit
  • 00:06:04
    anxious okay the
  • 00:06:06
    first consequence or implication I don't
  • 00:06:09
    know what to say implication maybe
  • 00:06:12
    implication is better so labor markets
  • 00:06:14
    and employment and I feel like this has
  • 00:06:18
    both pros and cons about it so AI could
  • 00:06:22
    increase labor productivity by
  • 00:06:25
    automating mundane and routine tasks
  • 00:06:28
    which frees up time for work workers to
  • 00:06:30
    develop other skills and this could in
  • 00:06:32
    turn increase the value of the workers
  • 00:06:35
    but it could also decrease employment
  • 00:06:38
    opportunities so that's like the pro and
  • 00:06:40
    the con there and what kind of jobs will
  • 00:06:44
    AI create so according to the world
  • 00:06:46
    economic Forum some jobs that could be
  • 00:06:48
    created by AI are AI trainers so people
  • 00:06:51
    who develop AI explainers people who
  • 00:06:54
    help explain what AI is to the general
  • 00:06:57
    public and sustainers people who use Ai
  • 00:07:00
    and make sure to continue using it in
  • 00:07:02
    the best ways possible and a little side
  • 00:07:04
    note here this article also talks about
  • 00:07:06
    creative destruction and that makes my
  • 00:07:08
    sociological brain very happy um because
  • 00:07:12
    they are exactly right AI is literally
  • 00:07:14
    creative um destruction and we could
  • 00:07:17
    have a whole discussion on that so what
  • 00:07:20
    about the jobs that a AI might destroy
  • 00:07:23
    or replace so according to maranne 2024
  • 00:07:26
    roles that require repetitive tasks like
  • 00:07:29
    data entry legal admin and mathematical
  • 00:07:32
    careers may be replaced with AI or
  • 00:07:36
    enhanced depending on how you look at it
  • 00:07:38
    and Healthcare may be impacted as well
  • 00:07:40
    as we already saw with Waldo
  • 00:07:43
    surgeons and and with such Innovation it
  • 00:07:45
    means that new skill skill requirements
  • 00:07:47
    will need to be met so are we going to
  • 00:07:50
    lose more or learn more I don't have a
  • 00:07:54
    specific subsection for AI in healthcare
  • 00:07:57
    but I do want to say a few things here
  • 00:08:00
    if you don't mind so according to shahan
  • 00:08:03
    2021 there are many applications of AI
  • 00:08:06
    in healthcare such as AI for drug
  • 00:08:09
    Discovery meaning that AI has helped
  • 00:08:11
    phac pharmaceutical companies Fast Track
  • 00:08:15
    their drug Discovery process so fisa I
  • 00:08:19
    don't know how is that how you say it
  • 00:08:20
    fisa is using machine learning to help
  • 00:08:23
    discover Immunology treatments get
  • 00:08:26
    vaccinated everyone uh AI is being used
  • 00:08:29
    in clinical trials to help automate and
  • 00:08:31
    speed up the process and AI is being
  • 00:08:34
    used for patient care to analyze
  • 00:08:36
    people's quality of life so I feel like
  • 00:08:38
    it's doing some good things in
  • 00:08:39
    healthcare moving on to social
  • 00:08:42
    relationships and
  • 00:08:44
    interactions and I am getting distracted
  • 00:08:47
    because I feel like I haven't set the
  • 00:08:48
    camera up where I usually do or the
  • 00:08:51
    lighting's just a bit off cuz it's
  • 00:08:53
    darker usually I film early in the day
  • 00:08:56
    but it's like because we had
  • 00:08:59
    the garden Has Come Today all there has
  • 00:09:02
    been is like noises of mowing lawns and
  • 00:09:05
    I just haven't been able to like film
  • 00:09:07
    while that's going on because it's
  • 00:09:09
    frustrating me and like it's just
  • 00:09:13
    annoying right and I feel like the mic
  • 00:09:16
    would pick up on a little bit anyway
  • 00:09:18
    social relationships and
  • 00:09:20
    interactions so I personally feel like
  • 00:09:23
    AI is going to influence our social
  • 00:09:25
    relationships and interactions so for
  • 00:09:28
    example we already see the use of
  • 00:09:29
    filters in social media apps such as uh
  • 00:09:33
    Snapchat and Instagram I am sure there
  • 00:09:36
    are others but I can't think of them
  • 00:09:37
    right now and I use filters sometimes
  • 00:09:41
    not usually to enhance my face but
  • 00:09:45
    sometimes I like to play with the silly
  • 00:09:47
    ones on Snapchat but a lot of filters
  • 00:09:50
    are about changing the way we look often
  • 00:09:53
    to enhance our beauty or shape our face
  • 00:09:55
    to fit with what's trending at the time
  • 00:09:58
    so there's a whole debate there but I do
  • 00:10:01
    want to say as I said before there are a
  • 00:10:03
    range of like really silly or stupid
  • 00:10:04
    filters that like make us look ugly or
  • 00:10:07
    not our best selves and I think that's
  • 00:10:10
    important to point out because it's not
  • 00:10:12
    no one ever talks about that they only
  • 00:10:14
    ever talk about the beauty enhancing
  • 00:10:17
    side of things and I feel like there are
  • 00:10:20
    always multiple sides to things I
  • 00:10:23
    personally think that people do actually
  • 00:10:25
    just talk about negative things when it
  • 00:10:27
    comes to social media like like where
  • 00:10:30
    are the people talking about the
  • 00:10:31
    positive things about social media
  • 00:10:33
    because there are both talking about
  • 00:10:35
    social media a lot of platforms have
  • 00:10:38
    integrated AI into their own algorithms
  • 00:10:40
    even my blog um hosting site uses AI
  • 00:10:44
    inside it to help make the users have a
  • 00:10:46
    better experience um social media
  • 00:10:49
    platforms use AI to enable personalized
  • 00:10:51
    content recommendations real time
  • 00:10:55
    content analysis and automated content
  • 00:10:57
    generation and with this comes
  • 00:11:00
    enhancement for the user experience on
  • 00:11:02
    social media it could also lead lead it
  • 00:11:06
    could also lead to the spread of
  • 00:11:08
    misinformation filter Bubbles and Echo
  • 00:11:10
    Chambers and this was written a while
  • 00:11:13
    ago but since then the AI on like
  • 00:11:17
    Instagram and Facebook is really
  • 00:11:19
    annoying like like I'm just trying to
  • 00:11:22
    search for someone so I can message them
  • 00:11:25
    and then it's like telling me this whole
  • 00:11:27
    story about horses or whatever uh yeah
  • 00:11:31
    it's and I find it funny how now
  • 00:11:34
    Facebook has AI that is just
  • 00:11:38
    like summarizing a com um a comment
  • 00:11:41
    section of a post anyway AI is also seen
  • 00:11:46
    in things like customer relations where
  • 00:11:48
    companies will use AI similar to the way
  • 00:11:51
    they would use a customer service agent
  • 00:11:53
    and by doing this it saves their money
  • 00:11:56
    but also helps with time and location
  • 00:11:58
    barriers is so it doesn't matter what
  • 00:12:01
    time a person is calling or um chatting
  • 00:12:04
    with the company the AIA agent can help
  • 00:12:07
    them because they don't have a legal
  • 00:12:09
    right to go home at a certain time it
  • 00:12:12
    also means that companies can
  • 00:12:14
    unfortunately be located in cheaper
  • 00:12:16
    areas uh which might lead to more
  • 00:12:19
    exploitation if they do employ AI agents
  • 00:12:22
    and consider people it mean it might
  • 00:12:24
    mean that such companies could generate
  • 00:12:26
    higher Revenue yay capitalism that
  • 00:12:30
    sarcasm um and turnovers each year uh
  • 00:12:34
    whether or not the user experience is as
  • 00:12:36
    good as talking to a human is a
  • 00:12:38
    different story personally I don't like
  • 00:12:41
    talking on the phone at all but I've
  • 00:12:44
    also struggled with chat Bots too
  • 00:12:45
    because sometimes they just have no idea
  • 00:12:47
    what you're talking about so I feel like
  • 00:12:49
    I'm on the fence but that might just be
  • 00:12:52
    because I'm a bit of an introvert and if
  • 00:12:55
    you're like me you probably watched a
  • 00:12:57
    lot of sci-fi or read a lot of sci-fi
  • 00:12:59
    content and I love it but it does scare
  • 00:13:02
    me to some degree especially when it
  • 00:13:04
    does come to things like robots and I've
  • 00:13:07
    talked about this in previous videos
  • 00:13:09
    Westworld such a good show uh but it did
  • 00:13:12
    scare me a lot and I really feel like we
  • 00:13:15
    got ripped off with not another season
  • 00:13:17
    because I just wanted more of that but
  • 00:13:20
    apparently it had like it just cost too
  • 00:13:22
    much money to make and they weren't
  • 00:13:24
    making any money but yeah it was really
  • 00:13:27
    good anyway we I'm going off topic a lot
  • 00:13:30
    a little bit um but the reason I brought
  • 00:13:33
    up sci-fi is because it makes me think
  • 00:13:35
    of AI and companionship can AI really
  • 00:13:38
    replace human companionship personally I
  • 00:13:41
    don't think so I don't think there's a
  • 00:13:43
    very extra special feeling when you
  • 00:13:46
    create a connection with an AI like when
  • 00:13:49
    you create a connection with a human
  • 00:13:51
    it's very like special whether it's a
  • 00:13:54
    friendship a relationship or like lover
  • 00:13:56
    or whatever those connections are very
  • 00:13:59
    like special to me and this could just
  • 00:14:00
    be my opinion but I don't think I could
  • 00:14:03
    have that with a robot but yeah that
  • 00:14:06
    reminds me there is the movie Her which
  • 00:14:08
    is very interesting very long too and in
  • 00:14:11
    saying this it's not to say that some
  • 00:14:13
    people won't be able to have that
  • 00:14:15
    connection or like some people won't be
  • 00:14:18
    affected because there definitely will
  • 00:14:20
    be people affected by AI companionship
  • 00:14:22
    tools I wrote here that I personally
  • 00:14:25
    think some people may become addicted to
  • 00:14:27
    them which is terrifying to think think
  • 00:14:29
    about so if we replace human interaction
  • 00:14:32
    with AI we are likely to get less
  • 00:14:35
    equality and less
  • 00:14:37
    satisfaction it's not just the same it's
  • 00:14:40
    not no it's just not the same quantifi
  • 00:14:44
    2024 suggest that and this is a quote
  • 00:14:47
    that human to human communication is
  • 00:14:49
    vital to humanity social life and it
  • 00:14:52
    should be nurtured and enhanced in any
  • 00:14:54
    way possible and that data and
  • 00:14:57
    artificial intelligent provide Prov a
  • 00:14:59
    powerful opportunity enhance personal
  • 00:15:01
    human-to-human interaction and have more
  • 00:15:04
    winning conversation and they also go on
  • 00:15:06
    to say that the human fear of AI is
  • 00:15:08
    based on the concept that a AI will make
  • 00:15:11
    humans obsolete which definitely won't
  • 00:15:14
    be the case like that won't happen but I
  • 00:15:16
    do understand where the fear comes from
  • 00:15:19
    well this is going to be a long video
  • 00:15:20
    long to edit but moving on now to
  • 00:15:23
    surveillance surveillance and privacy is
  • 00:15:27
    AI the new eyes of surveillance well one
  • 00:15:30
    would assume so considering the way it
  • 00:15:32
    can collect interpret and analyze data
  • 00:15:34
    and do so at rapid speeds with this
  • 00:15:37
    comes concerns of safety privacy and
  • 00:15:39
    data collection remember Cambridge
  • 00:15:41
    analytica thanks Zuckerberg according to
  • 00:15:46
    F 2024 in a Forbes article it's widely
  • 00:15:49
    understood that AI tools allow people to
  • 00:15:52
    create content texts images videos and
  • 00:15:55
    much more can be quickly created with AI
  • 00:15:58
    but these tools can also be used to
  • 00:16:00
    track and profile individuals AI allows
  • 00:16:04
    for more detailed profiling and tracking
  • 00:16:06
    of individuals activities movements and
  • 00:16:08
    behaviors than was ever possible before
  • 00:16:11
    AI based surveillance technology can for
  • 00:16:14
    instance be used for marketing purposes
  • 00:16:16
    and targeted advertising and to me this
  • 00:16:19
    quote is very very scary as the use of
  • 00:16:23
    AI in such a way can lead to invasion of
  • 00:16:25
    privacy and it may make people feel very
  • 00:16:28
    uncomfortable and uneasy just think
  • 00:16:30
    about how many cameras you walk past on
  • 00:16:32
    a daily basis or how many things are
  • 00:16:34
    actually tracking at every move are our
  • 00:16:37
    phones listening to us I wouldn't go to
  • 00:16:39
    say as far as our phones have a bugs
  • 00:16:42
    have a bug in it but the way algorithms
  • 00:16:46
    and things like that work is on
  • 00:16:48
    prediction uh they know what we want
  • 00:16:50
    before we know we want it if that makes
  • 00:16:53
    sense but what is our data being used
  • 00:16:56
    for facial recognition technology is
  • 00:16:59
    widely used in public spaces like train
  • 00:17:01
    stations and airports probably a lot of
  • 00:17:04
    other spaces too and I remember watching
  • 00:17:06
    a gruin episode which is a uh Australian
  • 00:17:09
    panel show hosted by comedian Will
  • 00:17:12
    Anderson and um there's a couple of
  • 00:17:15
    advertising experts I can't remember
  • 00:17:16
    their names and then they get new ones
  • 00:17:19
    every week and they analyze Australian
  • 00:17:22
    ads and say whether they think it's
  • 00:17:25
    going to work and basically they do a
  • 00:17:27
    sociological and analysis of the ads and
  • 00:17:30
    it's really good and one episode it's
  • 00:17:32
    quite old now but said that there were
  • 00:17:35
    uh shopping centers in Australia that
  • 00:17:38
    were uh tracking your like movement and
  • 00:17:41
    obviously there's cameras and shopping
  • 00:17:43
    centers for safety but apparently they
  • 00:17:45
    were trying
  • 00:17:47
    to work out what your mood was so that
  • 00:17:50
    they could like put
  • 00:17:52
    ads in like areas close to you and so
  • 00:17:55
    you'd go shop at that place yeah that
  • 00:17:59
    kind of freaked me out like why do they
  • 00:18:00
    need to know your mood anyway and facial
  • 00:18:04
    recognition technology being used in
  • 00:18:06
    such spaces leads to a lot of ethical
  • 00:18:08
    concerns about the constant monitoring
  • 00:18:10
    of people are we in a real life
  • 00:18:12
    1984 is the show Person of Interest
  • 00:18:15
    going to become a reality you tell me
  • 00:18:18
    okay the next implication uh we're going
  • 00:18:21
    to talk about or factor sociological
  • 00:18:24
    factor is ethics ethics is an
  • 00:18:28
    interesting topic
  • 00:18:29
    I don't really know how people can
  • 00:18:31
    decide what's ethical or not like you
  • 00:18:34
    have a gut feeling but there are so many
  • 00:18:37
    experiments from the past especially if
  • 00:18:38
    you've done psychology or looked into
  • 00:18:41
    that uh where just things are so
  • 00:18:44
    unethical and you're just like how did
  • 00:18:46
    that happen how did they allow that to
  • 00:18:48
    happen and I know there are ethics
  • 00:18:50
    committees and they decide what you can
  • 00:18:53
    do and what you can't do but I feel like
  • 00:18:57
    it's just so interesting how far we've
  • 00:19:00
    come like what the if was the CIA doing
  • 00:19:05
    with MK Ultra like how did they get away
  • 00:19:07
    with that that was like literal
  • 00:19:09
    brainwashing so they took a substance it
  • 00:19:12
    must have been LSD and um drugged people
  • 00:19:16
    without their knowledge and then they
  • 00:19:18
    wanted to see if they could like control
  • 00:19:20
    them it's that's another Topic in
  • 00:19:24
    itself is AI ready to make UNS super
  • 00:19:28
    unsupervised decisions like moral decis
  • 00:19:31
    decision making so simply put no have
  • 00:19:35
    you seen some of the images that it
  • 00:19:37
    generates like people have like seven
  • 00:19:40
    fingers however it can help with
  • 00:19:42
    decision making in general we want AI to
  • 00:19:45
    enhance Our Lives not to take over and
  • 00:19:47
    make humans obsolete according to
  • 00:19:50
    mendrick and T I don't know if I'm
  • 00:19:52
    pronouncing that right 2022 AI makes the
  • 00:19:55
    right decisions for the most part what a
  • 00:19:58
    might struggle with is specific moral
  • 00:20:01
    decision making they go on to discuss
  • 00:20:04
    the trolley problem when someone has to
  • 00:20:06
    make a decision to sacrifice one person
  • 00:20:09
    to save a larger number of people will
  • 00:20:12
    AI be able to make a split second
  • 00:20:14
    decision will it make the right one
  • 00:20:16
    what's even scarier is the idea that if
  • 00:20:19
    AI can answer the TR trolley problem
  • 00:20:22
    it's able to think independently would
  • 00:20:25
    AI make the same ethical and moral
  • 00:20:27
    decisions that us people would is there
  • 00:20:29
    AI era like there is human era so the
  • 00:20:32
    trolley problem is kind of like uh how
  • 00:20:35
    do I explain it so it's a thought
  • 00:20:37
    experiment in ethics and psychology uh
  • 00:20:40
    involving ethical dilemmas of whether to
  • 00:20:43
    sacrifice one person or save uh millions
  • 00:20:47
    of people so you would be like if this
  • 00:20:50
    person uh passes away then all these
  • 00:20:54
    people are saved if this person is saved
  • 00:20:57
    millions of people are going going to
  • 00:20:58
    pass away so logically most people would
  • 00:21:01
    go with one person passing away rather
  • 00:21:04
    than Millions anyway back to what I was
  • 00:21:06
    talking about would AI be able to have
  • 00:21:09
    empathy for others or even sympathy I
  • 00:21:12
    know these are just more questions than
  • 00:21:13
    answers but I feel like right now we
  • 00:21:16
    still don't really know where AI stands
  • 00:21:18
    like it's kind of like still
  • 00:21:20
    developing and there's also the issue of
  • 00:21:22
    bias and fearness that comes up for
  • 00:21:25
    example the idea of AI as a recruitment
  • 00:21:28
    tool
  • 00:21:29
    let's look at this example from Amazon
  • 00:21:31
    where they used AI where they used an AI
  • 00:21:33
    based tool to essentially out recruit
  • 00:21:35
    other big tech companies you might be
  • 00:21:38
    shocked to learn what actually happened
  • 00:21:40
    the recruitment tool did not like women
  • 00:21:43
    and yes as a feminist and a woman myself
  • 00:21:46
    this is a big big problem the data that
  • 00:21:49
    this AO tool used was tainted because it
  • 00:21:51
    was only really looking at men it was
  • 00:21:53
    designed to vet applications by
  • 00:21:55
    observing patterns and resumΓ©s submitted
  • 00:21:57
    to the company over a 10year period and
  • 00:22:00
    most of these came from men a reflection
  • 00:22:03
    of male dominance across the tech
  • 00:22:05
    industry uh and you can unpack that a
  • 00:22:08
    bit because a lot of the time women
  • 00:22:10
    won't apply for jobs because they don't
  • 00:22:12
    think they're qualified for enough and
  • 00:22:15
    there have been studies done on like men
  • 00:22:17
    applying for jobs that they're
  • 00:22:20
    definitely not qualified for and they
  • 00:22:22
    get them so yeah women should just be
  • 00:22:24
    applying for more jobs is the takeaway
  • 00:22:27
    from that so this AI tool taught itself
  • 00:22:30
    that men were preferable to hire as
  • 00:22:33
    Amazon were unable to make the problem G
  • 00:22:36
    gender neutral the AI tool development
  • 00:22:39
    was scrapped and I feel like if AI was
  • 00:22:43
    able to teach itself this we have to
  • 00:22:45
    talk about H demonic masculinity so this
  • 00:22:49
    is the practice which reinforces male
  • 00:22:50
    dominance in society so how do we get
  • 00:22:53
    away from that if AI is just going to
  • 00:22:56
    have gender biases why is it that men
  • 00:23:00
    are still in charge aren't countries
  • 00:23:03
    with a woman as their leader better off
  • 00:23:06
    as a hole well that's just my opinion
  • 00:23:09
    it'll be very interesting to see what
  • 00:23:12
    happens in the November election in
  • 00:23:15
    America I'm very interested and lastly
  • 00:23:18
    what about accountability if AI does the
  • 00:23:21
    wrong thing who takes accountability for
  • 00:23:23
    that will AI be able to apologize or
  • 00:23:26
    Rectify a mistake we just don't know
  • 00:23:29
    next we're going to talk about economic
  • 00:23:31
    inequality so I feel like something that
  • 00:23:33
    always has to be discussed in sociology
  • 00:23:35
    is economics if you've ever taken a
  • 00:23:38
    first year sociology course you'll know
  • 00:23:40
    all about the social political cultural
  • 00:23:42
    and economic factors all of those uh
  • 00:23:45
    they all work together and can play an
  • 00:23:47
    important role in impacting something
  • 00:23:50
    and often each factor is correlated to
  • 00:23:52
    each other so what about Ai and economic
  • 00:23:55
    inquality inequality well we all know
  • 00:23:58
    that we live in this crazy capitalist
  • 00:24:01
    world where the rich get richer and the
  • 00:24:02
    poor get poorer thank you Carl Marx but
  • 00:24:05
    there's this qu question that's always
  • 00:24:07
    stuck with me from my University days
  • 00:24:09
    and one of my supervisors always used to
  • 00:24:11
    say it but who has access and in
  • 00:24:15
    hindsight this is a really important
  • 00:24:17
    question who has access to the
  • 00:24:19
    technology of AI well firstly we need an
  • 00:24:22
    internet connection because not everyone
  • 00:24:24
    has that we need to know how to use a
  • 00:24:26
    computer and we need to be chicksy
  • 00:24:29
    enough to be able to use a tool like
  • 00:24:32
    chat
  • 00:24:33
    GPT and those with access might lose out
  • 00:24:37
    and with that all that being said I also
  • 00:24:39
    think AI will allow those who may have
  • 00:24:42
    not had access before to education
  • 00:24:46
    finally get access to education we also
  • 00:24:49
    might see the rise of personalized
  • 00:24:50
    learning so learning tailored to the way
  • 00:24:53
    we want to learn or how we might learn
  • 00:24:55
    best there is the idea that with the
  • 00:24:57
    rise of AI
  • 00:24:59
    income inequality will worsen I don't
  • 00:25:01
    have a better way of paraphrasing this
  • 00:25:03
    but this is from Bell and coric 20123
  • 00:25:07
    and as a quote we argue that this poses
  • 00:25:10
    a grave threat to democracy that is
  • 00:25:13
    separate from more Trad traditional AI
  • 00:25:16
    risks to Democrat to democracy such as
  • 00:25:19
    deep fakes and
  • 00:25:21
    misinformation High inequality corrodes
  • 00:25:24
    Democratic institutions through
  • 00:25:25
    increased Eli influence corruption popul
  • 00:25:28
    ISM and greater public discontent at the
  • 00:25:31
    same time weaken democracy loses power
  • 00:25:34
    to reign in inequality through
  • 00:25:36
    Progressive policies this may create a
  • 00:25:39
    vicious feedback loop of eroding
  • 00:25:41
    democracy and Rising inequality which
  • 00:25:43
    may accelerate rapidly following an
  • 00:25:45
    economic shock like large scale
  • 00:25:47
    displacement of workers by AI the result
  • 00:25:50
    could be a new society-wide equilibrium
  • 00:25:53
    with starkly increased income
  • 00:25:54
    disparities and a weakened voice for
  • 00:25:56
    ordinary citizens
  • 00:25:59
    that was a mouthful um and if this does
  • 00:26:02
    come into play wealth distribution will
  • 00:26:04
    be impacted and we will see a rise in
  • 00:26:07
    economic
  • 00:26:08
    inequality and to minimize the
  • 00:26:10
    likelihood of this policy should be put
  • 00:26:12
    in place such is not allowing AI to
  • 00:26:16
    automate or work Empower workers reform
  • 00:26:20
    um tax policies and make sure there are
  • 00:26:22
    no excessive power gains from the
  • 00:26:24
    implementation of AI okay we are at the
  • 00:26:28
    last factor and this is social norms and
  • 00:26:30
    this is my favorite one I think so
  • 00:26:33
    social norms are the shared standard of
  • 00:26:35
    behaviors that are acceptable in certain
  • 00:26:38
    places which can often be different in
  • 00:26:39
    different scenarios so for example
  • 00:26:42
    there's a social Norm of not talking to
  • 00:26:44
    other people in a lift or elevator uh
  • 00:26:46
    and if someone breaks a social Norm it
  • 00:26:48
    can get quite uncomfortable so someone
  • 00:26:51
    might face the wrong way in an elevator
  • 00:26:53
    or lift and it could be seen as a social
  • 00:26:57
    Norm um another social Norm in uh New
  • 00:27:01
    Zealand compared to Melbourne is when
  • 00:27:03
    you're on the escalator steer things uh
  • 00:27:06
    in a shopping center in um New Zealand
  • 00:27:10
    no one walks up them everyone's pretty
  • 00:27:12
    lazy and just stands on them and you
  • 00:27:13
    don't really need to get out of the way
  • 00:27:15
    but in Melbourne because people are like
  • 00:27:18
    always busy busy trying to get to other
  • 00:27:20
    places you need to stand on the left so
  • 00:27:22
    that if anyone needs to get up really
  • 00:27:25
    fast they can yeah I just thought that
  • 00:27:27
    was interesting anyway
  • 00:27:28
    what about social norms in AI I
  • 00:27:31
    personally think that AI is going to
  • 00:27:33
    fundamentally fundamentally change our
  • 00:27:35
    social norms especially in the Western
  • 00:27:38
    World so Baron Chelly 2024 says an
  • 00:27:41
    outlook on how AI could influence the
  • 00:27:44
    formation of future social norms
  • 00:27:46
    emphasizes the importance for open
  • 00:27:48
    societies to Anchor their formal
  • 00:27:50
    deliberation process in an open
  • 00:27:52
    inclusive and transparent public
  • 00:27:55
    discourse so in my own interpretation of
  • 00:27:58
    this
  • 00:27:59
    quote new social norms are likely to
  • 00:28:01
    emerge from the use of AI but we don't
  • 00:28:04
    yet know what they are going to be it
  • 00:28:06
    also just makes me things think of
  • 00:28:08
    things like uncanny valy I don't know
  • 00:28:10
    why are we going to lose agency with the
  • 00:28:13
    rise of AI how much of the world is
  • 00:28:15
    actually going to take over do we really
  • 00:28:17
    need to be scared and what's going to
  • 00:28:19
    happen to our work life balance are the
  • 00:28:21
    days of the 9 to5 over or are we still
  • 00:28:24
    going to be overworked and underpaid
  • 00:28:26
    what happens to agency does AI have
  • 00:28:29
    agency social norms in AI uh and our
  • 00:28:33
    society is becoming increasingly
  • 00:28:37
    digitalized things like social cues that
  • 00:28:39
    would have with a personto person
  • 00:28:41
    interaction will not be seen in the same
  • 00:28:43
    way when interacting with an AI check
  • 00:28:45
    bot they may not be able to pick up on
  • 00:28:48
    subtle hints or cues like humans would
  • 00:28:51
    they go on to say that we may even see a
  • 00:28:53
    decline in authenticity so this is all
  • 00:28:56
    and Def who I am referencing here um so
  • 00:29:01
    we might see a decline in authenticity
  • 00:29:03
    online when we see avatars which I think
  • 00:29:06
    is already happening with like Ai
  • 00:29:08
    influencers and I don't understand why
  • 00:29:10
    they have so many followers if a person
  • 00:29:13
    is acting as an avatar or something like
  • 00:29:15
    that on the metaverse does there mean
  • 00:29:17
    there are different social norms and
  • 00:29:19
    expectations for that Avatar what
  • 00:29:21
    happens if that Avatar commits a crime
  • 00:29:25
    is it treated the same way as a crime in
  • 00:29:27
    real life
  • 00:29:28
    what happens to trolls will we still be
  • 00:29:30
    able to block them so many
  • 00:29:33
    thought-provoking questions and I feel
  • 00:29:34
    like I have more questions about social
  • 00:29:37
    norms and answers to do with AI and I
  • 00:29:39
    apologize for that but that brings me to
  • 00:29:42
    the end so to summarize we have
  • 00:29:45
    discussed the consequences or
  • 00:29:46
    implications of AI on everyday life from
  • 00:29:49
    a sociological lens we have explored
  • 00:29:52
    examples of AI the effects of AI on
  • 00:29:55
    labor markets and employment AI Ai and
  • 00:29:58
    social relationships Ai Ai and surveill
  • 00:30:02
    surveillance Society Ai and ethics Ai
  • 00:30:05
    and economic inequality and Ai and
  • 00:30:08
    social norms we can see that AI is
  • 00:30:11
    another form of creative destruction but
  • 00:30:13
    with the rise of AI comes way more
  • 00:30:15
    questions than answers so stay
  • 00:30:20
    tuned anyway thank you so much for
  • 00:30:23
    watching as I said at the start of this
  • 00:30:25
    video I trying to get to 1,000
  • 00:30:26
    subscribers before the end of this year
  • 00:30:29
    so if you could go ahead and give this
  • 00:30:31
    video a big thumbs up if you enjoyed it
  • 00:30:33
    and subscribe to my channel if you have
  • 00:30:35
    not already I believe there's about 70%
  • 00:30:37
    of people who are watching my videos but
  • 00:30:39
    aren't subscribed um and I will link all
  • 00:30:43
    the sources and my blog post down below
  • 00:30:45
    so you can go and read those as well
  • 00:30:47
    I'll see you next one bye
Etiquetas
  • AI
  • Sociology
  • Social Relationships
  • Employment
  • Ethics
  • Economic Inequality
  • Surveillance
  • Social Norms
  • Technology
  • Creativity