ABSTRACT
The integration of artificial intelligence (AI) in the workplace has raised significant legal consideration and challenges. This abstract explores potential research areas within this topic, including employment law, intellectual property, labour and employment regulations, liability and accountability, and privacy and data protection.
In employment law the use of AI in hiring, monitoring, and performance evaluations necessitates an examination of privacy, discrimination, and fairness concerns. Intellectual property issues arise when protecting AI generated inventions and creations, requiring exploration of patentability, copyright, and ownership rights. Labour and employment regulations must address the impact of AI on the workforce, including job displacement, retraining, and the need for new regulations to address AI specific challenges. Liability and accountability consideration involves determining legal responsibility For harm or errors caused by AI systems, necessitating and understanding of their intersection with data protection laws.
KEYWORDS ;- Artificial intelligence, workforce, Intellectual property, Employment law, Labour and employment regulation, liability and accountability and privacy and data protection.
INTRODUCTION
AI has gained significant attention and has become increasing prevalent in various industries, including the workplace. However, its adoption raises important legal consideration and challenges.
[1] Artificial intelligence refers to as new revolution of computer- controlled machine that generate various accurate data from the accumulation of the all the available resources in less time with productive savings. AI is the integration and utilization of advanced technological that possess the ability to performs tasks that traditionally required human intelligence. AI system are designed to mimic human cognitive function, such as problem solving, decision making, pattern recognition and natural language processing, to enhance and automate various aspects of work place.
[2]In the work place, AI has emerged as a transformative technology that revolutionizes how organizations operate and perform various tasked by harnessing the AI technology, business can enhance productivity, streamline processes, and make more informed decisions. AI has made significant inroads in customer service where chatbots and virtual assistance of AI can interact with customers, answer inquiries, and provide support 24/7. These AI systems employ natural language processing algorithms to understand and respond to customers queries, providing personalized and efficient service. By automating routine customer interactions, businesses can free up human activity to focus on complex task and high value customer’s needs. IA has crucial role in decision making and data analysis, with vast amount of data being generated, AI algorithm can process and analyse information quickly, extracting meaningful insights and patterns that human being may have difficult in identifying the such insights.
There are several different field of AI, which all of them have a different profound influence in the modern world such as; Machine learning Robotics and Natural language processing. On other hand, AI has gained significant attention and has become increasing prevalent in various industries, including the workplace. However, its adoption raises important legal consideration and challenges.
EMPLOYMENT LAW
[3]AI system has played significant role for the industries to robust their existence of market prevalence in the competitive world. To further more prefiltration, now the AI has been installed in variety of business sectors, including employment. AI technologies in employment can help organisations manage their human resources, automate certain function and provide insights that support business decision making. We identify numerous roles where these AI systems will be made use of.
Recruitment process; it is most applicable method of AI in employment is recruitment. Throughout recent years, several companies are deploying AI in their recruitment leverage such as; Brother International Corporation – a premier provider of home office and business products- needed a better way to market their brand and attract talent. So they deployed HIRETUAL ia an AI powered platform that helps companies to conduct interviews. It uses video and audio analysis to assess candidates’ skills and fit for the role. This system also uses the resume and online source to identify the best candidates for the open roles, even if they are not actively looking for a job. HIRETUAL is an AI powered outbound recruiting platform to help you hire faster, smarter and save time. This way, the employer does this in an effort to increase the calibre for the future hires, decrease the time and expense involved in the hiring process, and optimise the selection of its applicant capabilities.
Although the recruitment process in this instance has been substantially facilitated by the use of AI, concerns continue to be raised about possible biases in the algorithms set up. That is the one of the most crucial aspects to have potential for AI to reinforce bias and discrimination in the hiring and employment process. The biased data can influence to use trained AI system to be discriminatory outcome, such as favouring particular applicants based on their race, gender, or other protected attributes. Which underscores the concerns regarding employer’s obligations to guarantee that the AI system are impartial and adherence to anti-discrimination laws. Additionally concerns regarding privacy, data protection and transparency are being bent by the rising adoption of AI in the work place. Employers must make ensure that the way they gather and use employee data fits with data protection laws and that they speak free freely about the decisions that AI systems make about their workers. Overall, the incorporation of AI system into the workplace poses complex legal and ethical issues that demand through scrutinize and regulations in order to ensure all the rights and protections of employees won’t be jeopardised.
INTELLECTUAL PROPERTY
[4]Intellectual property refers to creations of the mind, such as inventions; literary and artistic works; designs; and symbols, names and images used in commerce. And IP is protected in law by, for examples copyright, trademarks and patent, which ensure people to have right to earn recognition or financial benefit from there, what they have invent or create. The Ip systems strives to nurture an environment where creativity and innovation are rewarded by establishing the right balance between the interests of innovators and the interest of the publics as a whole.
But with the emergence of Artificial intelligence is revolutionizing various aspects of society, and the realm of intellectual property law is no exception. The rapid advancements in AI technology have led to development of innovate products, automated processes and even the generation of original content. However, these advancements also bring about significant challenges of IP law, which traditionally been structured to safeguard the rights of inventors, creators and innovators.
AI’s ability to create novel products and services raises question about ownership and patentability. Determining who holds the rights to AI generated inventions and how to attribute ownership becomes complex in cases where machine can generate creative works or contributes significantly to innovative processes. This blurs the lines of the traditionally ownership and raises question about the who should be recognizes as the rightful owner or inventor.
The issue of copyright infringement have becomes more intricate with AI generated content. AI algorithms can analyse and replicate the existing copyrights works, leading to potential infringement such case of the high court UK in [5]Nova production ltd v. Mazooma game ltd, where authorship of video game was produced by the AI and have conflict to the ownership of, whether the AI company would have the ownership or who produced the video game then court held that the programmer who’ devised the appearance of various elements of the game and the rules and logic by which it was generated and who wrote the relevant computer programme’ was the work’s true owner” but question arise now a computer programmer may copy all the rules and the function of another without infringe copyright? With the rise of AI also raise the questions about the future of the patent law. Where patents are designed to protect the inventions, but it not clear whether AI generated inventions can be patented. In the UK case of [6]Thaler v Comptroller-General of Patents, Designs and Trade Marks, where thaler had created to application through AI, DABUS. And the thaler wanted to patent of them but the UKIPO had rejected the application on the ground that DABUS is not a person, and therefore cannot be named as the inventor, then Thaler appeal the UKIPO’S decision to the high court, but the appeal was dismissed on that ground. Then he again to the supreme court and still awaiting of decision. So, it is not clear whether AI- generated inventions can be patented to the person who created the AI system? The person who programmed the system? The person who owns the data that the system was trained on?
the supreme court decision has a significant impact on the future of AI and patent law. If the supreme court rules that DABUS cannot be named as the inventor, it will mean that AI machines cannot be granted patents for their inventions, this could have a dampening impact on the development of AI, as it would make it more difficult for AI developers to protect their intellectual property. And if supreme court rules that DABUS can be named as the inventor, it would be a major breakthrough for AI and patent law. It would mean that AI machines would be able to be granted patents for their inventions, which would provide AI developers with a strong incentive to continue developing AI technology. [7]Along with, WIPO(world intellectual property organization) is organising a conversation on IP and IA that will bring together member states and other interested parties to talk about how AI will affect IP. The conversation is an important initiative that will help the WIPO and its member states to develop a better understanding of the challenges and opportunities that AI presents for IP. The conversation is also is an opportunity for the investor to share their views on how IP can be used to influence the direction of AI.
LABOUR AND EMPLOYMENT REGULATION
[8]Workforce means those who took participations from the from both inside and outside of the organisations that makes up workforce ecosystems, which encompass all the facets of an organisation and functions as well as the as various stages of production and service creation and delivery. Surprisingly, the use of AI within the workforce ecosystems is expanding and facilitating both the emergence and expansion. The novel methods to use of AI have become possible it by the growing trends arounds labour ecosystems, which is likely to amplified by the growing adoption of AI. [9]Where AI and automation can be augment to productive for some other work force such as cashier, call centre agents, factory workers, financial experts and even news outlet writers and it is not too far away from the upsurge in health care workers and accountants that may be going to replace by the AI. Now around 1.5 million people by the automated experiments are active on the website at any time, this enables them to customize their apps to satisfy and loyal consumers. As a result, technology have created demand and provides the resources to satisfy it. no matter how well they know the company, we would never see this kind of manual customer feedback research.
But somehow, Continuous advancement of artificial intelligence such as machine learning and automation etc. have an inevitable potential to disregard the workforce. The extent of the disregard will vary depending on a worker’s occupation and skill set. [10]Data from the world economic forum’s future of job survey OF 2020 show that the company expected in 2025 to re structure the workforce in collision to new technologies in particular, to change the value chain’s composition (55%), add additional automation (34%), increase the use of contractors for task specialized work (41%) or decreased the current workforce (43%) as a result of deeper technological integration. Through the adoption of automation and AI have created huge amount of unemployment in these industries and all over the world, that is big concern for the human beings because as the same time population and AI increasing and where the future people employment is replacing by the AI along with adoption of AI is utmost important for the companies to meet their services. Then what are the policies that should we adopt to be stability between humans- AI?
[11]The policy makers must take into the wider account of how AI based automation would affect the workers and the labour market. Focusing solely on the consequences of automation and ignoring the impact of AI on business and government structures, however, underestimates the amount to which work, workers and management customs are currently being influenced by AI. The potential consequences of human- AI collaborating and AI that improves human performance (such as generative AI tools) must be taken into account during policy discussion and policy makers also need to take much more nuances and in depth understanding of dynamic relationship between AI and workforce ecosystem. To that aim, the framework presented in this policy brief evaluated how AI and worker ecosystems are converging.
LIABILITY AND ACCOUNTABLITY
AI is trending technology that have significant impact on manufacturing, transportation, agriculture, robotics, modelling and forecasting, education, cybersecurity, and so many other applications. AI are designed to have positive implication through algorithm programming such as, AI have the potential to secure the safety by preventing the risks of injuries associate with that may arise from the human insanity. Apart from more secure, consistence and objectives than human decision making, AI based systems can also make decisions. Additionally, AI have the ability to quickly and effectively analyse the large amount of data, identifying and utilising the correlations that would miss the observation of even the most experienced human analyst.
But somehow, [12]AI may evolve in risks means that AI can also make mistakes due programmed based system or any other circumstances. AI now as a less transparent water means that to more difficult to make law to new development. If AI make any default, then who would be liable, one who (Company) created the AI or one who that programmed the AI algorithm or one who uses the AI.
Suppose we take a example of ROBOT MOVIE scene in fire emergence, chitti(robot) was programmed to save the people and chitti have done and on other sides chitti save a nude girl and from being of shamed, she ultimately died voluntary collision with the truck. After saving peoples from the fire emergence but still default in saving the nude girl. The AI is being programmed for certain function and in this complex world even human don’t have a capacity to do perfect and this is programmed AI. And cognitive biases lead to human vulnerabilities in the cooperation with AI.
Similar case with UBER’s test of autonomous automobile. The car’s sensors did not accurately identify and classified the pedestrian, who was pushing a bike across the street and as consequences, algorithm was prevented from the triggering the brake. The human co driver, whose responsibility was to watch over the vehicle and failed to respond quickly enough to stop the accident. The co-driver was charged with criminal negligence since the accident occurred while he was preoccupied with his phone. In contrast to this, UBER was not penalised.
if co driver was not there and this accident happened then who would be accountable?
accountable means “the fact of being responsible for what you do and able to give a satisfactory for it”. Existing legal guide line have a obligation for AI systems that to be examined such as [13]product liability and in context of contract and tort law or consumer protection law. But due to lack of clear accountability with the problem of AI. It is not clear because according to expert, who cited the relative newness of AI and its applicable in enterprises, explaining that a number of corporate leaders are still unaware of all that may go wrong when using the technology. Along with, according to Brando Purcell, vice president and lead analyst at the research firm Forrester that company don’t always have the skills to build and manage just and accurate AI based systems. Furthermore, individual might not even be aware of their obligations in relation to those of other contributors within an ecosystem of AI. So, taking into consideration of every aspect of harmful impact, it would vary on the nature of functioning of AI but generally the company alone is accountable for its AI, and those who involved in the pose of creating the scope, deploying, designing and managing of AI and for its EUROPEAN GOVERNMENT have made certain regulation to company to held responsible for, when AI do harm. [14]On other hand policymakers and technology experts have a debate over how much obligation to enact. Some experts believe that excessive regulations might be stifle the technology innovation. However, if there is insufficient regulation, harmful AI systems could proliferate. There is still much disagreement over where to draw the line.
PRIVACY AND DATA COLLECTION
artificial intelligence technology is becoming more and more common, from autonomous automobiles and face recognition software to virtual assistants like Siri and Alexa. [15]The use of AI does, however, raised privacy issues, particularly with regard to personal data, this is said by the Bhaskar Ganguli, Director, Marketing and Sales, Mass software solution. Massive amount of data is frequently used by AI systems to enhance their algorithms and boost performance, this information can include sensitive information like social security numbers and medical records, as well as sensitive personal information like names, residence and financial data. Concerns about how this data will be utilised and who has access to it can arise from its collection and processing.
The main issue to related to AI is that have potential for data breach and unauthorized access to personal information. With the huge amount of data being collected and used, there might be issue that it could fall into the hand of the wrong hand or to the third person through security breach or hacking or and sharing information for some purpose. For example- many websites and apps have collected data about your activities, personal data and search queries, which may convert into to build a full profile of your personal interest, habits and desires and this data can be shared with the third party to their personal use, such as targeted advertise or market research. Another example the [16]US company Clearview AI had violated the privacy of Canadian by collected photographs of Canadian adults including children for mass tracking and facial recognition without their consent, and for commercial sale. This report made by the office of privacy commissioner (OPC) OF CANADA noted that the information is being use the violate the terms of services of, like, you tube, Instagram, face book, WhatsApp, twitter, and Venmo. While Clearview AI claim that the information is available on the internet so there is no need of consent. After analysis of case through biometric information and facial information etc. are sensitive information that may cause harm to the people. So, OPS find that, if the company do anything for any purpose of the information of person, then there is “indeed required express consent”.
The issue of privacy and AI is a global concern and many countries have taken different steps to safeguard of privacy of their citizens. The most extensive privacy regulation in the USA is the California consumer privacy Act (CCPA), which grants Californians the right to know what personal information that companies have gather and to seek its deletion. Additionally, the US government has introduced various legislation, including safe data Act and the consumer online privacy rights act (COPRA)
In Europe the most significant privacy regulation is the general data protection regulation (GDPR), which established a global standard for privacy regulation. It provides a set of guidelines to safeguard of EU citizens and is applicable to all companies doing business there. For instances, in 2020, Google was fined 50 million euros by the French data protection authority for breaking the GDPR. The EU has also laid down the new rule is digital service Act, which aims to improve internet privacy and give user more control over their data.
CONCLUSION
The legal implication of AI in the workforce are complex and multifaceted. Striking the right balance between harnessing the innovation and advantages of AI while safeguarding individual rights, privacy, and fairness requires careful analysis and regulation. Policymakers, legal professionals, and organizations must collaborate to address these challenges effectively. It is crucial to ensure that AI technologies are deployed ethically, responsibly, and in alignment with existing legal frameworks. by doing so, we can maximize the benefits of AI while mitigation potential risks, protecting fairness, and upholding the principles of legal compliance and accountability.
Mritunjay kumar
(National university of study and research in law, Ranchi)
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