Artificial Intelligence : Charms and Spooks
How often have you felt that a machine can know and understand you far better than any human being? Well, did such a moment made you happy about the achievements we are making in the field of artificial intelligence (AI) or did it send chills down your spine, for me it was a mix of both. The more curious and amazed I was with the thought of being in a “HER” world, where we had a talking OS with AI fascinating the humans emotionally, the next very moment made me felt completely vulnerable to this uncontrollable unknown superhuman power.
For an example have you noticed the Google searches giving personalized results or autocomplete suggestions, and made you think, how the search engine knew your requirements much clearly than yourself. Although the results are much more relevant and customized but trade-off on an individual’s privacy is a matter neglected.
British scientist Stephen Hawking told BBC in 2014, that “The real risk with AI isn’t malice but competence. A super intelligent AI will be extremely good at accomplishing its goals, and if those goals aren’t aligned with ours, we’re in trouble”. Fortifying this statement is the recent shut down of the AI engine by a social networking service, where the chatbots deviated from the human provided script and invented their own language which humans could not understand.
In another instance, an American multinational technology company’s local chatbot and another developed by a Chinese firm were taken offline from a Chinese messaging app, after posting unpatriotic comments. In 2016, a chatbot using AI to communicate on Twitter was brought down within a day as it started uttering weird and racist responses.
This takes me back to the “I, Robot” scenario, where an artificial intelligence platform ‘VIKI’ evolved a “Zero’th Law” based on the Three Laws it was imbibed with. This new law was to ensure the survival of the human race, but by stripping individual humans off their free will by the robots. Even though we are seeing major revolutions in area of AI from last few years but the concept, its benefits and implications have been showcased endlessly by the movie industry. The fantasies are not only becoming real but is already in an act to disrupt our day to day life. With AI influencing almost every aspect of our lives from product to partner recommendations, we are sailing in the decisions taken by machines rather than ourselves.
A flash on the concept
Artificial Intelligence, in words of its founder John McCarthy, is the science and engineering of making intelligent machines. Machine Learning (ML) is a subset of artificial intelligence i.e. computers viz. machines learning from experiences and improving its performance without any intervention by humans. The experiences here refer to the existing data or huge repositories of information which is fed to the machine based on which it becomes capable of making human like decisions. Three broad types of Machine Learning algorithms are:
- Supervised Learning – feeding machine with data which is labelled with the output. e.g. teaching a machine new language along with its meaning
- Unsupervised Learning – feeding machine with data which is not labelled with any output e.g. teaching a machine new language without its meaning, the machine starts recognizing patterns by itself and builds its understanding
- Reinforcement Learning – machine interacts with its environment, observes the result and performs future actions based on the best reward resulting action e.g. a robot winning the game of Chinese Checkers after playing the game with all possible moves and acting based on the observed results
Most of the ML live examples are based on the deep learning approach which use Neural Networks. Neural Networks work similar to a human brain consisting of multiple hidden layers of interconnected neurons for analyzing the patterns and learning data. American multinational technology companies one which specializes in search engine and another in licensing and computer software’s are using neural networks for the language translation applications, other areas where AI is prospering and bringing efficacious digital transformations across industries but not limited to, includes:
Image recognition e.g. face tagging feature on Facebook and social networking websites, voice recognition for smartphone assistance, investments in driverless cars by BMW and Toyota, avoiding subscription cancellations worth $1B by Netflix by providing personalized recommendations using ML algorithms, use of automated haul trucks and drilling machines by Rio Tinto, Robo-advisers in banking which provide personalized portfolio management services without any human intervention, automation of claims process at insurance companies along with trade execution and credit decisions, Google YouTube to use ML to detect and delete terror videos, Paypal using ML to curb money laundering, spam moderation and content discovery by Pinterest, generating synthetic human voices as part of developments in ‘Deep Voice’ by Baidu, IBM Watson has proven to diagnose some types of cancers more effectively than human oncologists, lead prediction and valuable customer service by Salesforce, Google’s AI beating the top human player at the game of Go and other human intellect games such as Scrabble, Othello etc. with cognition and superior problem solving skills etc.
Despite the tremendous breakthrough in the field of Artificial Intelligence, we need to be wary about its repercussions, like:
- Inability to monitor the self-evolution of AI
- Situations where humans would be unable to understand the baseline of decisions made by machines
- AI communicating in language unknown to humans
- Incapability to understand what and how a machine does what it does
- Probability of AI using pernicious ways to achieve its goals
- Uncertain disasters which might be incurred by AI e.g. use of robots in warfare, a fatal accident by driverless car or incorrect medical diagnoses by AI driven medical system
- AI biases due to public data fed to it along with unpleasant human traits
Elon Musk, CEO, Tesla warned US governors to get educated and consider ways to regulate AI, averting any threat to humanity. While leveraging the capabilities of AI and ML for human development, it also needs to be ensured that there is a check on each aspect of the machine behavior and decision making, else we might end up in a robotic ruling world having potential to put an end to the mankind itself.