The Rise of Responsible AI.
                     THE RISE OF 
RESPONSIBLE AI
INTRODUCTION
• Today we are surrounded by technology and connected virtually with everything 
and everyone on the internet as a product through social media services in the 
age of Artificial Intelligence. 
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DATA HANDLING PRINCIPLES
• As we have lots of information floating around and easily accessible, it makes it 
more important to have proper data handling principles and policies to be in 
place to make sure that the data is not driving the wrong decisions. 
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AI APPLICATIONS
• Data sets can be corrupted easily and still will have the power to influence 
decisions of algorithms based AI applications which can prove to be hazardous 
humans as a race and could negatively impact the environment as well with bad 
decisions. 
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RESPONSIBLE AI
• We need Responsible AI which is the practice of using AI with good intention to 
empower employees and businesses, and fairly impact customers and society.
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WHY RESPONSIBLE AI IS IMPORTANT?
• It will allow companies to engender trust and scale AI with confidence along with 
the purpose of providing a framework to ensure the ethical, transparent and 
accountable use of AI technologies.
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CONSIDERATIONS OF RESPONSIBLE AI
OPERATIONAL LEVEL
• It requires setting up of governance and systems that will enable AI to flourish  
with proper definitions of design principles and methodologies
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TECHNICAL LEVEL 
• Ensure systems and platforms are trustworthy and explainable by design and 
leveraging shift left approach to embed best practices and principles being 
infused during inception of a project itself.
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ORGANIZATION LEVEL
• Democratize this new way of working and ensure human and machine 
collaboration and defining new roles with proper responsibilities and 
accountabilities for proper functioning.
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REPUTATIONAL LEVEL 
• Articulate the responsible AI mission and ensure it’s anchored to a company’s 
core values, ethical guardrails, and accountability structure. 
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