sci/tech (x3)



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 :(



politics :<

US-China fundamental tensions

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

the good

Wide efficiency and scale

the bad


Privacy concerns

Extent of control

why is privacy necessary?


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.

youth (x1)

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?





prejudice (x1)





Aware 2018: survey 500 S’porean women, >50% underwent harassment

To be honest I’ll probably avoid this question

general (x1)


past question planning

We’ve gone over those during lessons as a class, but how would I execute these myself?

Is it increasingly difficult for youths to overcome challenges in today’s modern society?

Class discussion

Modern challenges

There’s little a youth can do about most of those.

Personal ‘insights’

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?

Can AI solve the world’s pressing problems?

Class discussion

401 insights: see previous

40x discussion:

Personal insights

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

The earth is too small for humanity. Comment.

Class discussion

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.

Personal ‘insights’

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?

Point: Wisdom

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.

Point: Cooperation

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)

Point: Greed and ambition

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?

Counterargument: this can be remedied

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.

general notes