Speaker: Matthew Renze
For more, see the table of contents.
Tech has a tendency to be abused
- land – slaves
- mechanized war fare – expand influence
- cyberware – mass surveillance
Alice and Bob
- Need to decide if want to get cat or dog for kids.
- One researches cats and one dogts.
- Get into info bubble thinking cat lovers hate dogs and vice versa and mad at each other
- Then talk to real people, learn people like both and get a cat and a dog.
- A generation later they lose their jobs due to robots/AI. Their kids see lots of jobs because tech savvy.
- Kids convince parents to upskill and get new job
- Another generation later grandkids want biological augmentation and to marry an AI.
- Feel lost in world no longer recognize
- Learn about technology and see it is an evolution. Learn from grandchildren.
- When search for something, get more of it.
- Then info bubble/echo chambers
- Goal is to maximize engagement. This results in more extreme content so people click
- Lose privacy – ex: shopping data predict pregenancy
- Can deanonymomize data with data of birth, sez and zip code
- Little privacy now and soon a lot less
- Algorithmic bias – ex: racially bias criminal risk score, males preferred in resumes
- Uncanny valley – distrust things that almost like us
- Hallucination – making up believeable, but false info
- Misinformation at scale
- Lack of AI literacy
What can we do
- Delete cookies
- Incognito mode
- Throwaway emails
- Stop using “click holes” to get pulled down rabbit holes
- Opt out
- Privacy regulations
- Limit/stop using social media
- Talk to other people
- Eliminate bias in data – diverse datasets, exclude protected attributes, retrain algorithm over time
- Be able to explain how AI made decision. Use decision tree vs neural network where can.
- Let users choose how much error they allow
- Don’t allow full autonomous
- Who is the author/publisher?
- What are their sources?
- How strong is the evidence?
- Significant unemployment – simple/repetitive/costly jobs. Expect 20%+ jobs to go away by 20230 and be replaced by other higher tech jobs
- Labor market unprepared for rapid change
- Society is unprepared for change.
- Many people left behind in poverty.
- Synthetic media – indistinguishable from human data. Propaganda/misinformation at scale. Deep fakes. Deep nude (remove clothes without permission), etc
- With 10 likes, AI knows you well as colleague.
- Surveillance capitalism – can’t detect being manipulated
- Greater social stratification – income gap
- Safety issues – does self driving car protect driver or pedestrian
- Autonomous weapons – currently a human is in the loop
- Educate everyone/AI literacy, Basics of ML, DL (deep learning), RL (reinforcement learning)
- Job retraining
- Retirement options for those too old to reskill
- Mandatory higher ed – mandatory high school was controversial
- Universal basic income/negative income task
- Deep fake detection – arms race
- Digital alibi – so can prove what doing at all times and therefore not in fake ideo
- Blockchain for everything so have complete audit trail
- Default mode of skepticism
Further Future – Speculative
- AGI (artificial general intelligence) – at least as smart as average person
- Improve health
- Solve biggest problem – climate change, politics, government
- Humans could become obsolete – ex: horses became obsolete to farms. “Peak horse” was in 1915
- Collapse of modern institutions – could break capitialism.
- Changes already faster than society can adapt. What happens when new discoveries every day?
- Dystopian future – authoritarianism, communism, fascism, AI religion, AI super bureaucracy
- Or a better AI based government
- ASI (artificial super intelligence) – if create AGI, intelligence exposion can happen fast. AGI can rewrite its own code.
- Alignment problem – how do we align human and AI values. Reward hacking – find loopholes
- AI run amok – what happens if robot mine astroids. When does it stop
- Conflicts – are we pets, ants, raw materials, competition, a threat?
- We evolved for short bursts of stress.
- Modern society is chronic stress
- Be mindful with tech
- Respect AI
- Don’t fear/fight change
- Use tech when beneficial and skip when not
- Reward AI goal states
- Keep ability to intervene if decision doesn’t align
- Peacefully coexist with AI
- AI wins
- AI and humanity merge – most likely option
- Humanity ends itself
- No “us vs them” problem.
- Phones an extension of us
- Younger generation willing to merge with mind
- VR/AR glasses
- Gene editing
- Brain/computer interfaces
- Next version of people likely to be vary different
The Alice and Bob stories are fun. There was a ton of information. It went very fast and definitely need time to process. I expected more discussion of ethics rather than covering “everything” but I’m happy with how it turned out.