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Lets take an example, world’s first large scale office was created using AI. This was for the
requirement of the architecture-software firm, Autodesk, to design a new office. What they did was
asking their employees what they wanted for their ideal workplace, it includes important factors
like, amount of light, privacy and open space, etc. The AI programmers fed this information into
the AI, and the generative-design technology produced more than 10,000 different blueprints.
Fact
AI is as intelligent as you program it.
AI is not creative nor it has a consciousness. We are the ones responsible to program an AI system.
There is no AI without humans. We build it, teach it and give it the tools to make certain decisions
on our behalf. So, AI can be used in some areas to speedup the decision making. For a product
which gives the impression of learning by its own, the reality is that the human data scientists who
frame the problem, prepare the data and remove potential bias from the training data and most
importantly keep updating the software. Can we create a AI Humanoid data scientist? Probably not.
Till then AI can only be as smart as humans. It can be smarter as we create it.
Myth #3
AI is an unnecessary luxury in times of the COVID-19 pandemic.
It is believed that enterprises are struggling with cash flows and uncertain economic conditions,
AI being so expensive will be a luxury to spend on.
Fact
AI is generating revenue during the COVID-19 crisis. It is improving customer interactions,
generating early warnings for upcoming disruptions, analysing data quickly and automating
decision making.
Myth #4
AI can be biased.
Every AI technology is based on data, rules and other kinds of input from human experts.
Because all humans are biased in one way or another, so is the AI. Systems that are frequently
trained for example, using new data from social media is even more vulnerable to unwanted
bias or intentional malicious influences.
Fact
Constant research is going on to reduce the biases.
Myth #5
AI will take up medical decision and diagnoses.
Myths and Facts of AI 65

