Suresh Pasumarthi, SAP India, CIO News, ET CIO

Written by Suresh Pasmarty,

Smart apps have become an integral part of our daily lives as they are easy to use for once-difficult tasks such as ordering food, shopping, and booking a ride. It’s no exaggeration to say that we live, eat, and breathe these apps. These applications can provide such advanced and personalized experiences through the integration of artificial intelligence (AI).

The Rapid Rise of Generative AI

With Generative AI, new apps being developed will become more intrusive into our lives. Not only will it automate our daily tasks, it will also change the way we work. From summarizing and replying to long emails, to assisting in day-to-day business operations, to assisting in creative tasks and building intelligent enterprise applications that help businesses run more efficiently and effectively, and much more. is also automated. Now you can ask questions and get answers in natural language. All these technological advances are made possible through the Large Language Model (LLM).

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AI is becoming embedded in many areas, and you can expect to see many concerns raised by this technology.

The widespread integration of AI into all aspects of our daily lives, from business operations to healthcare, has raised concerns about its potential for misuse. This is about how AI is trained based on historical data, which may contain biases and ethical considerations, and how data is inferred for queries. It emphasizes the need for transparency and accountability.

AI dilemma

As we look to the future of artificial intelligence, there are some significant risks that need to be considered. These risks include the possibility of incorrect prescriptions being issued due to flaws in medical data analysis, man-made viruses that cause pandemics, malfunctions in self-driving cars and automated systems, and other risks that affect our daily lives and the processes and applications of our companies. includes the potential for damage to

The increasing adoption of AI technology has also raised many legal concerns, especially in areas such as legal liability, privacy, and intellectual property. All of the above raises the need for clear regulations to determine liability for accidents, intellectual rights, copyrights and damages caused by AI systems.

Today’s AI systems have no consciousness or self-awareness. They do not perceive and interpret their environment, make decisions, or express emotions.

With all these challenges, who is legally responsible for mistakes in AI systems?

• Will the companies that built and deployed these AI systems continue to do so?
• Is the person who owns and uses the product responsible?
• Should the supplier of the part that the manufacturer made available for production be held liable?
• Are humans responsible for legal liability arising from AI’s unethical or immoral decisions?
• How do we hold machines accountable for crimes?

Some recent use cases raise questions such as:

○While AI malfunctions cause accidents in self-driving cars, who is responsible for driving the car, the manufacturer, the software developer, and the data scientist who developed the algorithm?

o If an AI system delivers an inaccurate prescription due to flawed medical data, the parties that could be held liable include the creators of the AI ​​system, the healthcare providers using the AI ​​system, and the relevant healthcare data. includes those who manage and maintain the

Accountability through AI’s new dilemma

Determining who is responsible for actions taken by advanced AI systems is a complex problem.

A common approach to addressing the negative impacts of AI systems is to assign accountability to creators and promoters. This is similar to holding parents accountable for their uneducated toddlers’ public behavior, but as children grow into adults, it is important to take responsibility for their own behavior. will be Likewise, her future AI systems, which have abilities beyond their creator’s training, must also be held accountable for their actions.

All of these challenges are multifaceted and require collaboration between policy makers, legal experts, technology companies and other stakeholders to address them effectively. Policy makers can create a legal framework that ensures accountability and transparency in the use of AI. Legal experts can advise on the legal implications of AI and help draft necessary regulations. Technology companies can provide technical expertise to develop regulatory-compliant AI systems in line with ethical principles.

In retrospect, governments should ultimately develop policies and assign clear ownership and responsibility to each stakeholder in the game in case of malfunction or adverse outcome. Instead, governments should enforce AI ground rules to reduce the risks to human life and prosperity.

The author is Director of Engineering and Product Management. SAP Labs India

Disclaimer: The views expressed are those of the authors only and are not necessarily endorsed by etcio.com. etcio.com is not responsible for any direct or indirect damages caused to individuals/organizations.

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