If #ai is source for future competition and promising to provide competitive advantages, have any one thought of how to protect it and sustain it. If you can't protect and sustain, what is the use of competitive advantage. #BusinessIntelligence#Competition
Today's race of #AI is more towards accuracy and we are pouring enough resources for same. When time for industrialisation come to reap benefits, #ai will face many challenges. Industrialisation is a very big opportunity. #Innovation#technology
When Will #AI Exceed Human Performance?
This is the hot discussion across many domains. However very few credible answers and evidence are available. Here is the most credible answer from AI expert based on crowd sourced prediction from research Paper. #ArtificialIntelligence
#AI will outperform humans in many activities in the next ten years,
•translating languages (by 2024)
•writing high-school essays (by 2026)
•driving a truck (by 2027)
•working in retail (by 2031)
•writing a bestselling book (by 2049),
•working as a surgeon (by 2053)
Researchers believe there is a 50% chance of AI outperforming humans in all tasks in 45 years and of automating all human jobs in 120 years.
HLMI is achieved when unaided machines can accomplish every task better and more cheaply than human workers.
50% chance that machine will achieve HLMI in 45 years and 75% chance to achieve same in 75 years. #ArtificialIntelligence#AI
Very strange #Insights. Asian expert believes that #ai will achieve HLMI much sooner than North American expert. The number is staggering. Asian expects HLMI 44 years before North American. #FutureofWork#innovation
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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
#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
#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)