#100daysoflearning#psychology
Day 18 update
Completed reading from Robert Cialdini
Started another reading from chapter 2 of Mayer’s book on Social Psychology, completed 5 pages
#100daysoflearning#psychology
Day 18 update
Key Learning
- spotlight effect is experienced when we think people are paying more attention to us then needed.
- we also suffer from illusion of transparency that our emotions are easily detectable.
#100daysoflearning#psychology
Day 19-20 update
Completed up to page 12/chapter 2 from Social psychology book by Mayers
Key Learning
- We overestimate the visibility of our social blunders and public mental slipups
- At center of our world is our sense of self
#100daysoflearning#psychology
Day 19-20 update
Key Learning
- Self Schema is our mental templates with which we understand and organise our world.
- The roles we play, social identities we have, comparison and surrounding culture develops our social self
#100daysoflearning#psychology
Day 21-22 update
Completed up to page 21 in reading from chapter 2 of book social psychology by Mayer’s
Interesting self concept which explored an insightful question, who am I?
#100daysoflearning#psychology
Day 23-27 update
Completed up lesson 3.3 of course (involved 40 minute documentary on Millgram experiment)
Key Learning
- Obedience to authority is an universal phenomena and good people by abiding to authority can carry out wrong tasks
#100daysoflearning#psychology
Day 23-27 update
Key Learning
- Conformity is another form of obidience when an individual is pressurised to do an ac activity because group is doing it. (It is hard to fight heard mentality)
#100daysoflearning#psychology
D28, D28, D30 update
Completed week 3 videos. Including 2 documentaries on Stanley Millgram obidience and Philip zimbardos Stanford prison experiment.
#100daysoflearning#psychology
D28, D28, D30 update
Key Learning
- Do not discount power of situation as sometimes it can lead to actions we are not proud of
- Generally people are good but when their identity is taken out the dark side comes out (annonimity, deindividualization)
#100daysoflearning#psychology
D31 update
Completed up to lesson 4.1 and also seen documentary on Abeline paradox
Key Learning
- We as a group do some activities even though none of the group members are really in favor of it.
- Abeline paradox is observed everywhere
#100daysoflearning#psychology
D32-33 update
Completed peer graded assignment from week3 and in week 4 completed up to Lecture 4.2
Key Learning
- We have used categories to make meaning of world around us and they are linguistic devices
#100daysoflearning#psychology
D32-33 update
Key Learning
- Categorical thinking gives rise to prejudice
- In real-world everything is a continuum rather than discrete categories
Until you appreciate what you currently have, more won’t make your life better.
2. It’s Never As Bad As You Think It Will Be
The problem with dread & fear is that it holds people back from taking on big challenges. What you will find — no matter how big or small the challenge — is that u will adapt to it.When u consciously adapt to enormous stress, u evolve.
What #AI lacks, humans can fill in.
What humans lack, who will fill in.
Dual standards of our society and human thinking. #Ethics, #fairness and other values are regulated for AI but same values for humans are not regulated.
Time to do introspection.
If humans are unable to grasp the ethics, morale and fairness values due to deep diversity of humanity, how can we ensure ethical frameworks created for #AI will be universal.
Humans have failed to uphold the values of #ethic across history and geography. Humans have used the technology to gain control and become superior. The weaponisation of #ai is inevitable. We have seen parallel cases from field of #biotech and specific case of #crispr
#antitrusthearing
Security and safety of consumer, product, partners and Algorithm is next set of questions. Again no satisfactory answers. #Algorithms#AI#security
#antitrusthearing very interesting question, how will you ensure that biases of your employees are getting in to the algorithm?
In fact research has proven that algorithms are learning not from the data but the way data was labelled and annotated. #ai#bias
#QuantumComputing#quantum#technology#India Panel is packed with eminent and leading members from Science and Academia.
Apoorva Patel (IISc, Bangalore)
R. P. Singh (PRL, Ahmedabad)
Umakant Rapol (IISER, Pune)
Anil Prabhakar (IIT Madras)