Ethical Considerations in AI and ML

Did you know the artificial intelligence market of India will escalate with the 2nd fastest rate after China?

As per the Times of India, a combined study of Microsoft and IAMAI (Internet and Mobile Association of India) revealed that the AI market is expected to reflect a growth of 20% in India. We can also expect to see the applications of artificial intelligence and machine learning heeding the needs of the future digital market.

As per Forbes, good AI ethics are essential to attain effective business value. It poses several business risks like damaging the brand, failure of the product, legal issues, and many more. The government can only enact compliances, whereas, the realm of impacts only depends on individuals, and companies using artificial intelligence technology.

Organisations across industries are now harnessing ethics for these prominent tools to sustain their competitive edge in the market. This is increasing demand for highly skilled professionals and experienced candidates with experiential learning of ethical considerations in AI and ML.

Needless to say, leading universities in India like Manipal University, Jaipur, are offering engineering programs that foster aspirants' development to meet the industry requirement.

Also, you are suggested to pursue a B Tech in Computer Science and Engineering program to become aware of the key ethics, principles and applications in AI and ML because of its sophisticated industrial collaborations and records.

Ethical Considerations: Relevance for AI and ML in Modern Business Landscape

In the current era, aspects of AI and ML have been remarkably versatile in multiple areas like finance, automobiles, healthcare, marketing, and so on. Let us explore major ethical considerations in today’s rapidly evolving landscape of artificial intelligence and machine learning.

1) Transparency and Fairness

• Making fair choices
• Countering human biases
• Promoting inclusivity

As an intelligence expert, one must ensure transparent and equitable treatment of individuals in the AI system. Relevant information regarding algorithms must be transparent to stakeholders with the objectives of artificial intelligence. To reinforce trust, one must be aware of the functionality, strengths, limitations, and workings of AI and ML tools. Top universities of India, like MUJ, offer quality learning on how to maintain transparency and fairness in the implications of AI and ML.

2) Privacy and Accountability

The systems of AI and ML require wider data to be maintained and protected in the business environment. Henceforth, privacy is a significant ethical consideration for working with these prominent tools. One must be responsible for the AI decisions due to assigned responsibility.

It gives birth to the smooth flow of operations and other activities of the businesses. Learning about these ethical applications from Manipal University, Jaipur will offer you the ability to contribute to the data privacy and smooth operations of the companies.

3) Compliances and Cybersecurity

• NITI Aayog is directly involved in the AI policy regime in the Indian market to promote ethical concerns.
• The Copyright Act, 1957 governs the protection of AI software/algorithms from competitors.

Ethical AI practices under cybersecurity majorly heed and address the need for prevention of misuse of AI and ML systems. Two of the major ethical principles i.e. compliance and cybersecurity ensure data protection, misuse of AI, and many more aspects of the business world. After completing the AI and ML programs from Manipal University, Jaipur, you will become acknowledged with the multiple compliances and cyber securities ensuring ethical considerations in intelligence.

4) Human Welfare and Job Displacement

Potential job displacement due to AI and ML should be addressed to reduce the socioeconomic impacts on workers. Considering ethical AI, one must give priority to humanity over other objectives of AI and machine learning.

As per the report of Business Standard, nearly 69% of jobs are under threat in the Indian economy due to automation and artificial intelligence. However, it will also increase work-occupational opportunities for the aspirants of AI and ML courses at top engineering colleges in India.

WEF (World Economic Forum) predicted a 40% jump in AI and ML specialists by the year 2027 and a 30-35% increase in demands for scientists, big data specialists, and data analytics. Furthermore, a 30% rise in demand for information security analysts is also predicted due to AI and ML implications.

Organisations Promoting AI Ethics

Here, you can go through the projects and organisations offering resources to enact AI ethics (Source: International Business Machine Corporation).

• Defense Advanced Research Projects Agency (DARPA)
• National Security Commission on Artificial Intelligence (NASCAI)
• Center for Human-Compatible Artificial Intelligence (CHAI)
• Algorithm Watch
• AI Now Institute

Top engineering colleges in India prepare students with experiential learning about the aforementioned authorities and their role in AI ethics. Therefore, we at Manipal University, Jaipur will provide you the opportunity for internship and industrial visits to uplift your potential across industries.

How Is Manipal University Jaipur Empowering Students to Pursue Their Dream Careers?

After signing up for the B Tech Computer Science and Engineering program at Manipal University, Jaipur, you will get a chance to achieve next-level career progression across the industry. The reasons for pursuing this program at MUJ are tabulated below.

Visit our website, explore the track record for Placements at MUJ, and enrol now.