Myths & Facts of Ai
Artificial Intelligence or AI for short is perhaps the hottest topic right now in the world of science. It has long been the subject of fiction as well as continued talks in popular media; it is sometimes shyly mentioned among those with common interests in technology.
The hype around AI has produced many myths, in mainstream media, in board meetings, and across organizations. Some worry about an “almighty” AI that will take over the world, and some think that AI is nothing more than a buzzword. The truth is somewhere in the middle.
It’s important to separate truths from fiction to move forward. Below are some basic but popular myths about AI.
MYTH #1: AI is often COMPLETELY OBJECTIVE AND BIAS FREE
This is a stimulating one because it might make logical sense that a computer would compute without bias. After all, algorithms do not have feelings or opinions. And while that’s true, AI doesn’t exist in a vacuum — it’s created, operated, and informed by very biased creatures — humans! And humans accompany all of these pesky things. Actually, this is often probably one of the most important challenges that come with implementing AI.
Human operators majorly influence the processing and synthesizing power of AI by what values we include (or don’t include) and by the direction we code into algorithms about how they ought to (or shouldn’t) make correlations.
So while an AI will never be completely objective, with the proper considerations it can get close to being that way.
MYTH #2: MACHINE LEARNING AND AI is that the SAME THING
AI and Machine Learning (ML) are two very hot buzzwords right now, and often seem to be used interchangeably. They are not quite the same thing, but the perception that they are can sometimes lead to some confusion.
Artificial Intelligence is that the broader concept of machines having the ability to hold out tasks in a way that we’d consider “smart”.
And,
Machine Learning is a current application of AI-based round the concept we should really just be able to give machines access to data and allow them to learn for themselves.
MYTH #3: AI can make independent decisions:
Many people believe that cognitive programs are self-sufficient and might exist and run entirely on their own. this means that computers can learn the way humans learn.
But the fact is AI Programs must be Taught First
AI-based programs need input data in order that they might learn and make independent decisions within the future. this implies that AI needs scenarios and use cases defined by people. Programs can’t define new scenarios themselves.
Artificial neural networks that may perform really complicated tasks, emulating the way biological neurons do, exist. But they’re still an extended way from achieving the complexity of the human brain neural nets.
MYTH #4: Only low skilled and manual jobs will be replaced by AI
This is certainly a fallacy. Already, AI-equipped robots and machinery are polishing off work generally reserved for the foremost highly trained and professional members of society, like doctors and lawyers. True, plenty of their focus has been on reducing the “drudgery” of day-to-day aspects of the work. as an example, within the legal field, AI is employed to scan thousands of documents at lightning speed, drawing out the points which can be relevant in an ongoing case. In medicine, machine learning algorithms assess images like scans and x-rays, trying to find early warning signs of disease, which they’re proving highly competent at spotting. Both fields, however, likewise as many other professions, involve a mix of routine, though technically complex, procedures — which are likely to be concerned by machines — also as “human touch” procedures. For a lawyer, this might be presenting arguments in court in a way that will convince a jury, and in medicine, it may well be breaking news within the most considerate and helpful way. These aspects of the work are less likely to be automated, but members of their respective professions could find they need more time for them — and thus become more competent at them — if mundane drudgery is routinely automated
MYTH #5: AI will replace all human jobs
This is the foremost popular claim out there about AI. While this statement is partially true in this the looks of AI and therefore the automation process can really cause an interruption within the production chains, and accordingly how we utilize labor; simply saying that AI will replace humans entirely could be a huge assumption and may be quite dangerous if it’s taken seriously. What’s actually true is that AI is in no way different from other technological advances; it’s simply here to remain and help societies produce more efficiently. For a protracted time now, technological progress has been one of the most threats to jobs. So this phenomenon isn’t new either. Certainly, the more improved technology is, the more obsolete jobs like operators or couriers are shifting to the verge of extinction.
But who operates the AI? In this climate, the character of jobs also means evolving itself constantly to travel along with will with technology development. Some jobs are indeed superseded, but more jobs requiring specific skills have also been created reciprocally. We should really consider AI as contributing and augmentation instead of outright replacement of humans. Humans are still important because the ones who initiate
