Human relationships built on body language, tone, nuances (this is a y2 point)
“When AI is programmed, it has a goal in mind,” says Lakhani, “and a lot of AI is designed to drive patterns. If you rely too much on AI to give you information, or social prompts, it risks reinforcing your beliefs. That’s dangerous. Empathy is about understanding the feelings and viewpoints of others. AI can remove that serendipity and just feed you with what you like.”
Priya Lakhani, founder and CEO of Century Tech, which uses cognitive neuroscience to help teachers.
Assistive technology
Formation of emotional connections; suspension of disbelief
Social media and dopamine boosts
Empathic technology
Escapism; lack of consequences
A fundamental loneliness despite a fundamental connection
https://eandt.theiet.org/content/articles/2019/06/empathetic-technology-experiencing-life-through-the-looking-glass/ Empathetic technology: experiencing life through the looking glass
Technology is the result of human knowledge and scientific developments (product of ingenuity etc)
AI: when algorithmic tools begin to supplant these roles?
Artificial intelligence (not to be confused with machine learning): development of automated systems which normally require human intelligence
Threatens “white-collar” jobs too :(
https://www.nytimes.com/2020/09/29/us/politics/military-cyberweapons-artificial-intelligence.html
Inflexibility
US-China fundamental tensions
Trade war etc
Tiktok https://www.washingtonpost.com/technology/2020/07/13/tiktok-privacy/
But there’s scant evidence that TikTok is sharing our data with China, and we should be wary of xenophobia dressed up as privacy concerns.
Geoffrey A. Fowler
China: surveillance tech; human rights issues; ‘great firewall’ -> narrative control;
Europe: relative weakness in terms of tech
Globalisation and xenophobia
This is a little microcosm of the whole science and tech debate.
Data processing taken to an extreme; ultimate efficiency / information weighed against respect for individual privacy and rights / risk of misuse
Basically use China for half your examples, because their system is so sophisticated and so prone to potential abuse
But you can also use other countries… eg US and such
State surveillance: data owned by govt
Corporate surveillance: data owned by companies
Surveillance capitalism: data as a commodity
Wide efficiency and scale
Misuse
Privacy concerns
Extent of control
https://www.nytimes.com/interactive/2019/opinion/internet-privacy-project.html
Where AI is the crystallisation of rapid advancement and unpredictability (risk; ‘technical’ side), surveillance is the crystallisation of the collective efficiency / individual respect debate. (‘moral’ side)
AI research requires data to proceed gained through forms of surveillance Surveillance is of course enhanced through ‘AI’ research developments
Essentially, collection of data vs use of data.
Do I have actual points or am I just braindead?
We will never know.
What is the significance of being a youth?
Peru’s movement of working children (book by Jessica Taft, 2019)
This could be a decent hook?
Education
‘modes’
https://www.nytimes.com/2020/02/11/upshot/gender-roles-housework.html
https://www.channelnewsasia.com/news/commentary/singapore-gender-equality-women-white-paper-sexual-violence-13133672
Aware 2018: survey 500 S’porean women, >50% underwent harassment
To be honest I’ll probably avoid this question
dieee
We’ve gone over those during lessons as a class, but how would I execute these myself?
Modern challenges
There’s little a youth can do about most of those.
What characterises a ‘youth’? Naïvete, innocence, flexibility, the lack of a ‘stand’ in society, the focus on education as a responsibility.
Youths are often seen as agents of change, either immediately or eventually.
For the most part there isn’t very much they can do.
But what challenges are there for them to overcome, especially nowadays?
401 insights: see previous
40x discussion:
AI is fundamentally a method to process data and optimise approaches.
Many problems rely on human negligence / illogic and cannot be solved easily.
i.e. AI gives you the “what” to do, not the “how” to do it?
What AI can alleviate: deterministic problems
What AI cannot alleviate: ‘human error’ problems
What AI worsens: job insecurity
Humanity: reflection of human moral values (instead of physical ‘mankind’)
Analysis of whether ‘positive’ moral values outweigh ‘negatives’ as exhibited today
Not physical size, obviously.
In simple terms: we (and the earth) have resource problems, can we solve them?
Or, in terms of ‘humanity’:
That’s it. Those are the three points.
“Kurzgesagt”: point out the stand more clearly. Given how many issues we have here on earth, given humanity’s expansionist tendencies and values, are we doomed to fall into the habit of making our mistakes again and again?
Bring in ‘technology’ and ‘globalisation’ points: we have access to all information at our fingertips. Research and developments have mades us incredibly intelligent and provided us with so much knowledge / potential.
So why are we still dumb?
Climate change and the many who outright deny it.
The pandemic and the misbeliefs it has unearthed.
The relative inaction which all our ignorance has merited us.
This is the politics point. Discuss global tensions, rise of xenophobia, intolerance in the form of racism and sexism etc, perhaps the youths are getting more progressive nonetheless (silver lining)
This is the environment point. Perhaps politics may tie directly into this. Economy, pandemic again (shortsightedness), expansionism itself leading to intolerance. Climate change, the oil industry, new technologies and systems being adopted at the cost of others— who’s to say we’ll treat the earth any better?
Wholesome? Talk about how the youth are actively curbing this by making a difference, the role of power structures (United Nations), the existence of technology and its role as a stabilising factor / limiting resources.
Counter this by pointing out vocal minorities and conceding that nothing ever changes.
