Towards Responsible AI
Artificial intelligence (AI) is maturing rapidly as an incredibly powerful technology with seemingly limitless applications. It has demonstrated its ability to automate routine tasks — such as our daily commute — while also augmenting human capacity with new insight. Combining human creativity and ingenuity with the scalability of machine learning is advancing our knowledge base and understanding at a remarkable pace. However, with great power comes great responsibility. Specifically, AI raises concerns on many fronts due to its potentially disruptive impact. These fears include workforce displacement, loss of privacy, potential biases in decision-making, and lack of control over automated systems and robots. While these issues are significant, they are also addressable with the right planning, oversight, and governance.
Practicing acclaimed AI
Responsible AI is a framework for bringing many of these critical practices together. It focuses on ensuring the ethical, transparent, and accountable use of AI technologies in a manner consistent with user expectations, organizational values, and societal laws and norms.
Responsible AI can guard against the use of biased data or algorithms, ensure that automated decisions are justified and explainable, and help maintain user trust and individual privacy. By providing clear rules of engagement, responsible AI allows organizations under public and congressional scrutiny to innovate and realize the transformative potential of AI that is both compelling and accountable.
It answers the fundamentals of ethical AI practices-
- How do I ensure that AI solutions are designed to operate responsibly?
- How do I employ AI to act in a manner that is compliant with stakeholder expectations and applicable laws?
- How do I use AI to unlock the full potential of my workforce?
A sustainable plan of action
In addition to being free of bias, AI-based decisions should be understandable to those impacted and adhere to existing rules and regulations. For example, the 1974 Equal Credit Opportunity Act has long required that those denied credits must be advised as to the reasons behind that decision. More recently, 2011 Federal Reserve System SR 11–7: Guidance on Model Risk Management advised banks to employ active risk management to guard against faulty assessment models. In New York City, the Council recently created a task force charged with determining which “automated decision systems” used by the city should be subject to further governance procedures that include:
- Use a human-centered design approach
- Identify multiple metrics to assess training and monitoring
- When possible, directly examine your raw data
- Understand the limitations of your dataset and model
- Test, Test, Test
- Continue to monitor and update the system after deployment
According to Accenture Research, 82% of federal executives believe that “AI will work next to humans as a co-worker, collaboration and trusted advisor” within 2+ years. A high degree of trust will be required for the workforce to increase their reliance on automated systems for often life-impacting decisions. This trust can develop from a widespread understanding of how these decisions are made, the ability to guide the machine as it learns, as well as knowledge about how humans and machines augment each other for improved outcomes. In addressing all these issues, Responsible AI offers a way for all stakeholders to adopt a ‘people first’ approach that is fair, accountable, honest, transparent, and human-centric.
Deploying trustworthy AI solution
Over 70% of leaders across various firm categories expect their headcount to increase in response to AI over the next two years. If you aspire to boost your career prospects and learn AI-ML applications, IIT Mandi and Wiley offer PG Certification in Applied AI and ML. This course will walk you through Deep AI processing and industry-specific tools for the entire AI lifecycle. You can learn to model user-friendly APIs with tools like Python, Keras, Tensorflow, NLTK, NumPy, Scikit-learn, Pandas, Jupyter, and Matplotlib.
Plus you will learn to ‘Apply AI’ in real-world scenarios under the guidance of the top industry experts of the Wiley Innovation Advisory Council.
For over 200 years, Wiley has been helping people and organizations develop the skills and knowledge they need to succeed. They are dedicated to developing efficient learning products, digital transformation education, learning, assessment, and certification solutions to help universities, businesses, and individuals move between education and employment and achieve their ambitions. In 2020, WileyNXT has been recognized by Fast Company for its outstanding innovations in education.
Miles Education is always committed to your career success and brings to you new-age certifications in Finance and Emerging Technologies. We have partnered with IIT Roorkee, IIT Mandi, IIM Lucknow, IIM Kozhikode, and WileyNXT to present PG certifications in AI, ML, Deep Learning, and Analytics.
To know more and to apply visit Miles Education today.