The potential of Artificial Intelligence, along with its involvement in our lives, is evolving swiftly. Undoubtedly we have high hopes with its evolving nature and limitless application. More so during this fast transition phase that the world is currently going through courtesy COVID-19.

However, this double-edged sword needs to be handled responsibly and intelligently with the utmost care. People around the world are eying on this powerhouse for bringing about drastic yet pleasant changes. It is critical to deal with this power with the utmost sensitivity to serve these high hopes and faith from users.  

The rising AI intervention has also bought about a lot of doubts in stakeholders' minds around various factors such as privacy, regulations, governance, data protection, ethics, control, and workforce displacement. Though this might look like a big deal, proper planning, clear vision, and strong governance can very well address these questions. 

As per Niti Aayog, "The government may fund specific research projects in responsible AI and introduce ethics of AI into the university curriculum as the new-age technology is expected to boost India's annual growth rate by 1.3% by 2035".

This scenario leads to Responsible AI coming to the forefront and tackle the doubts surrounding the role of AI. Responsible AI is all about concentrating on the accountable, fair, transparent, and ethical use of AI to achieve desired results and saving it from falling prey to the evils. Responsible AI works in achieving desired results in line with the stakeholders' values while staying in the boundaries of laws and norms. 

The pillars of responsible AI are Governance, Designing, Monitoring, and Training. The stakeholders, such as the government, AI experts, researchers, technologists, entrepreneurs, businesses, and organisational management, must be brought together to enrich the AI experience. 

Some of the key intervention areas of Responsible AI include.

• Governance - Responsible AI is collaborating with all the participants of the business ecosystem to create an enterprise governance framework that works while keeping in mind the involved risks and stakes. 
• Curbing Bias - Very often due to lack of a clear perspective, we unintentionally induce some bias in the system. Or sometimes, the bias arises from automated data-oriented systems or the systems working on historic data churning. Responsible AI can safeguard against such data or algorithms.
• Making Results more Explainable and Accountable - With AI models growing complex over time, they might not remain easy to understand for people leading to people losing trust as they don't see what's going on at the back end. Responsible AI puts efforts towards inclusivity of all attributes like gender, race, attitude, belief, geography, and values to come up with decisions that are more fair and comprehensible to those impacted. 
• Bringing Organisational Changes - We can not ignore the unexpected transition that businesses and organisations have gone through due to the current pandemic. Businesses suddenly changed or were rather forced to evolve to stay afloat. Artificial intelligence is very integral for businesses, now more than ever. Responsible AI can lend a helping hand to organisations to innovate and adapt. This will help in strategising and monitoring tasks while keeping all the stakeholders satisfied.
• Ensuring Control Over Automated Systems (Robustness and Security) - Strengthening user privacy is vital while we are all replacing traditional structures in the new sociocognitive-technological environments. Its the objective of responsible AI to make sure there is no misapplication of AI and related innovative technologies. Effective usage of AI can prevent issues of cybersecurity, including fraud detection, access control, and data integrity. As per The World Economic Forum, cyber-security is the Number One risk associated with the financial services industry. So undoubtedly this is a sensitive issue that needs a lot more of our attention.
• Sticking to Ethical and Regulatory boundaries - AI model must be in sync with the organisation's as well as stakeholders' objectives and must align with the values. Fairness and ethics play a major role in the journey of AI, as with the stakes being huge, any blotch might lead to severe trust issues. 

In an effort to fight the pandemic and its aftermath, government and agencies across the globe shall come together. This collaboration will utilise shared data from various communities transparently while following the guidelines and respecting boundaries for the betterment of society at large.

So, responsible AI is all set to bring profound changes while resolving the concerns coming its way. At the same time, the impact on society is the most important deciding factor for AI to win the battle and win people's hearts.