Artificial Intelligence, Machine Identity (IOT), Data Regulation, Security and Data Privacy
Artificial Intelligence (AI) is the emulation of human intelligence process by machines or an IOT device. The process involves learning (extracting meaningful insights and patterns), predicting (use the collected data to help devices make future decisions) and self-correcting (the art of getting more accurate in prediction every day). This is made possible by the three major wings of Artificial Intelligence — Machine Learning (ML), Natural Language Processing (NLP) and Deep Learning (Neural Networks). It is also able to evolve to realize patterns that humans haven’t even programmed them to process.
Artificial intelligence is used in several fields today including Image recognition, Stock trading, Risk Analytics and Threat detection in cyber-security, Anomaly Detection, Health Care, Recommendation Engine in E-Commerce, Autonomous cars, User Behavior Analytics, Suspicious Transaction detection, ChatBots, Targeted Marketing, Emails Classification and Response etc.
Artificial Intelligence is all about making your system behave smartly according to human behavior,IoT is about transferring data without or with human intervention. IoT forms an ecosystem of connected devices in a wireless manner which is accessible via the internet.The connected devices have sensors and have inbuilt embedded systems which can message to the other interconnected devices. Similarly, while the number of connected devices already exceeds the number of humans on the planet by over 2 times, for most enterprises, simply connecting their systems and devices remains the first priority. IoT based smart systems generate a large volume of data often called big data that cannot be processed by traditional data processing algorithms and applications. The IoT and Artificial Intelligence (AI) will play a vital role in numerous ways in the future. For example, AI combined with Machine learning can study from the data to analyze and predict the future actions in advance, such as order replacements in marketing, Placing investment decisions such as buying a stock etc.
Should AI and IOT be Regulated?
Everyone wants to automate, but the foundation around doing this well is having quality data. We need data protection laws and regulations that protect privacy effectively in the era of AI and the Big Data on which it depends. When discussing artificial intelligence (AI) policies, it’s hard not to talk about the General Data Protection Regulation (GDPR) at the same time. While several India’s startup ecosystem has built several products using AI, we do not yet have principles for regulating it. Combination of AI and IOT can be a dangerous and lethal combination in future if regulations are not put in place today. IOT devices can talk to another IOT device across the country's boundary. Non human robots need to be kept under security controls. We need to securely manage software robots and IOT machines controlling their privilege, authenticating them and ensuring they don't misuse the data. Many Internet of Things devices on the market today have little to no security built in, which can compromise the privacy and even personal security of consumers. Using Artificial Intelligence Deep learning potential abuses of facial recognition technology,such as "Deep-fakes" that applies neural net simulation to massive data sets, to create a fake. AI and IoT have the potential to revolutionize society, but what happens when these new technologies are weaponized by cyber criminals? AI was created to use machine learning (ML) to go beyond the capabilities of a human and see patterns that humans cannot perceive. Looking at data in completely new ways opens up so many possibilities but consequently it also opens the door to numerous risks because the dangers of cyber-security are not properly considered when manufacturing IoT and AI devices.
