A visionary in the field of tech, digital solutions, and backend technology, Sarvagya Mishra is the Co-Founder and Director of SuperBot. In his current capacity as the Co-Founder & Director, Mr. Mishra oversees the tech, sales, and business development verticals. He further envisions taking SuperBot to the global level of prominence, while building a strong team of like-minded people.
It will not be an overstatement to say that the way we interact with technology has changed. Most people interact with conversational virtual interfaces and AI-powered devices on a regular basis without a second thought. AI-powered digital devices and services are now used by a large section of the global populace, with more people joining the bandwagon by the day.
But what does this mean for the future of humans in an AI world?
The Tech Evolution: Viewing AI from the lens of human enablement
The future of AI is often spoken about in terms of its potential to take over human jobs. But what if, instead of taking over human jobs, AI actually helps humans become better at their jobs? What if it helps us optimise how we function – as individuals, professionals, and members of society – and become better, in ways we never thought possible?
It definitely has the potential to do so. For instance, it can help us become better at our jobs by automating repetitive tasks and freeing up our time to focus on more value-added activities. It can also help us make better decisions by providing us with data-driven insights that we would otherwise not have access to. And, perhaps most importantly, it can help us create more meaningful and fulfilling lives by connecting us with other people and things in ways that were not possible before.
In the future, we will see AI-powered robots in our homes and workplaces, helping us with everything from the mundane to the complex. AI voice agents will draw on the collective human knowledge to serve as counsellors and psychologists. AI-powered cars will be on our roads and AI-powered assistants will be in our pockets. We will see the technology in our schools, hospitals, and government institutions, helping us make better decisions, provide better services, and improve the quality of our lives.
Many of these things are already happening. Educators and educational institutes are using AI and associated technologies to personalise learning the needs of the individual student without compromising the collective learning progress. They are also being used for the early detection of diseases, developing personalized treatments, and even conducting surgery, as well as making better lifestyle choices by providing us with real-time feedback on our health and fitness. Even traditional fields such as agriculture are being transformed by AI, as farmers get real-time updates about critical aspects such as the weather, soil condition, etc. to optimise their yields. Such measures will only become more commonplace in the coming years.
Ethical AI: How to create AI that adds value to human life
But, as with any transformative technology, there are risks and challenges that must be addressed. These include everything from data privacy and security to the potential for AI technologies to be used for harm. The key, therefore, is to ensure that AI is developed and used responsibly. This means accounting for the potential risks and harms of AI and working to mitigate them. It also means ensuring that AI technologies are designed and used in a way that respects and protects the rights of individuals.
One way to do this is to ensure that AI technologies are transparent and accountable. This means that individuals should be able to understand how AI works and why it is making the decisions it does while implementing mechanisms to hold it accountable for its actions. It is also essential to ensure that it is inclusive by accounting for and removing human biases from the system. This means that AI technologies should be designed and used in a way that caters to the needs of all individuals, regardless of their race, gender, ethnicity, or other factors.
There are plenty of examples that demonstrate what can happen if these factors are not considered. In one famous example, an AI-powered recruiting tool used by a major tech company was found to be biased against women. The tool was trained on data that was predominantly male and, as a result, it downgraded resumes that included words such as women, family, or mother. Facial recognition systems used by law enforcement agencies in the US have also been found to be more likely to misidentify black people as criminals due to the inherent biases in the training data sets.
The future of AI is one of ethical responsibility. As AI technologies become more advanced, it will become increasingly important to ensure that they are designed and used in an ethically responsible way. This will require a concerted effort on the part of all stakeholders, from AI developers and users to policymakers and regulators. But, if done right, the rewards will be more than worth it.