Abstract
Businesses are using Artificial Intelligence (AI) more and more in hiring, promotions, performance reviews and other workplace choices. Even while AI is frequently seen as impartial and fair, when it uses data that has been impacted by historical injustices it may inadvertently perpetuate gender prejudice. Concerns around gender justice, accountability and transparency have become increasingly important as firms rely more on technology. This study looks at how AI-driven decision-making affects gender equality in the business sector and evaluates whether the current corporate legal framework can handle these kinds of issues. It examines the relationship between gender justice and the Sustainable Development Goals namely SDG 8 (Decent Work and Economic Growth) and SDG 5 (Gender Equality). The article goes on to address the shortcomings of conventional corporate governance practices in addressing algorithmic bias and emphasizes the necessity of more robust legislative protections to guarantee equity and inclusion. The paper makes the case that effective legal supervision must coexist with technology advancement by examining recent worldwide advancements in corporate responsibility and AI legislation. It comes to the conclusion that in order to achieve inclusive growth in the digital age businesses must use ethical and transparent AI methods that advance gender equality rather than exacerbate already existing inequalities.
Keywords: Corporate accountability, Artificial Intelligence and Gender justice.
Introduction
At 2018, it was discovered by a platform that their AI-based hiring process disadvantaged female candidates. That is Amazon which discontinued it after finding it. The program showed how AI systems might inadvertently reproduce current employment disparities since it was trained on hiring data from the past that benefited males. This episode demonstrated the dangers of depending on technology without sufficient control and sparked worries about algorithmic prejudice throughout the world. Corporate decision making has changed as a result of the increasing usage of AI in hiring, promotions, performance reviews and workforce management. Even while AI is efficient and innovative the biased algorithms may have an impact on career development, leadership selection, job prospects and wage evaluations, especially for women and other underrepresented groups.2 The UN Sustainable Development Goals particularly SDG 5 (Gender Equality) and SDG 8 (Decent Work and Economic Growth) which place a strong emphasis on equal opportunities and inclusive economic participation are threatened by this kind of prejudice. In the digital age, these issues have made corporate social responsibility (CSR) even more crucial. In addition to implementing cutting-edge technology, businesses are expected to make sure that these technologies are transparent and equitable. At the same time, global legal frameworks and new AI rules aim to safeguard workplace equity, combat discrimination and encourage responsibility.5 On considering this study investigates the connection between Corporate Responsibility, Algorithmic Prejudice and Inclusive Growth. It assesses how gender equality is impacted by AI-driven decision making and investigates the role of moral leadership and legal regulation in accomplishing sustainable development objectives.
Gender Equality on Corporate Social Responsibility
The 1987 Brundtland Report, which defined sustainable development as development that satisfies current needs without jeopardizing the ability of future generations to satisfy their own needs and helped to establish the concept of worldwide sustainable development on a global scale. In order to address global issues including poverty, education, health and gender inequality the United Nations created the Millennium Development Goals (MDGs) in 2000. The MDGs were criticized for their narrow scope and inadequate coverage of new economic and social challenges, despite the fact that they made a substantial contribution to progress. The 2030 Agenda for Sustainable Development which targets (SDG) and 169 targets to be achieved by 2030 was thus endorsed by the UN General Assembly in September 2015 worldwide. The SDGs, in contrast to the MDGs place an emphasis on an integrated strategy that strikes a balance between social inclusion, economic progress and environmental sustainability. SDG 8 encourages decent labour, productive employment and inclusive economic growth whereas SDG 5 seeks to attain gender equality and empower all women and girls. These goals are especially pertinent in the digital age as new technologies have a greater impact on economic participation, leadership prospects and job access. As a result, it is now crucial to guarantee that AI systems function impartially and without bias in order to further the goals of SDGs 5 and 8.
The Apple Card Gender Bias Controversy, 2019
Apple Card was widely criticized in November 2019 when a number of customers claimed that despite having equal financial histories, the credit card’s algorithm gave women much lower credit limits than males. When internet entrepreneur David Heinemeier Hansson claimed that his wife had been given a significantly lower credit limit despite having a better credit rating than him, the dispute became well known. The Apple Card debate continues to be a crucial illustration of the necessity of corporate responsibility, transparency and ethical AI governance. It is an illustration of how policies that promote equality and further the broader objectives of SDG 5 and 8 must be combined with technological innovations. Financial authorities launched an inquiry in response to the scandal which brought attention to the difficulties in guaranteeing accountability and fairness in algorithmic systems. The event showed how automated decision making might impact chances open to women even in areas like financial access and economic involvement and even if the precise operation of the algorithm was not made public. Goldman Sachs issued the Apple Card which used an automated approach to determine creditworthiness. Concerns were expressed after the accusations that the algorithm’s decisions making process was opaque and may have resulted in biased consequences. This incident prompted concerns about whether AI and automated technology can unintentionally reinforce gender bias in financial and economic choices.
Gender Equality on Corporate Social Responsibility
In India, Corporate Social Responsibility (CSR) is now required by law rather than being a voluntary company activity. Companies with a net value of ₹500 crore or more, a turnover of ₹1,000 crore or more or a net profit of ₹5 crore or more during any fiscal year are required to comply with CSR under Section 135 of the Companies Act, 2013. These businesses must invest at least 2% of their average net income from the three financial years before in CSR initiatives. In India, gender equality is a key element of CSR activities. Schedule VII of the Companies Act specifically recognise programs that promote gender equality, Women’s empowerment, skill development and efforts to reduce inequity. Companies improve women’s access to financial inclusion, leadership development, entrepreneurship, employment opportunities and education through CSR initiatives. Gender inequality in the Indian workforce persists despite tremendous advances. Recent data indicate that women are still underrepresented in leadership and senior management roles across several industries. These disparities show how important it is for businesses to go beyond simple legal compliance and embrace a more comprehensive commitment to inclusive growth. Corporate responsibility in the AI age includes making sure that technology systems do not perpetuate gender biases in hiring, advancement, performance reviews and workplace decision making. SDGs 5 (Gender Equality) and 8 (Decent Work and Economic Growth) may be greatly advanced by incorporating ethical AI techniques into CSR frameworks. Businesses may support workplace equality and sustainable development by performing algorithmic audits, encouraging transparency and guaranteeing fair employment practices. As a result, CSR should be seen as both a strategic instrument and a legal mandate for promoting gender equity and inclusive economic growth in India.
1.CSR EXAMPLE: THE TATA STEEL
Tata Steel is a prominent illustration of how CSR is advancing gender equality in India. The organization has taken a number of steps to increase the number of women in leadership roles in the workforce. Tata Steel has worked to establish a more welcoming workplace by implementing policies that promote diversity, equal opportunity employment, maternity benefits, skill development and leadership training. The Tata Steel incident shows how businesses may improve worker diversity, productivity and long term of sustainability while also incorporating social responsibility into their business plans. It emphasizes that true corporate responsibility is attained via institutional policies that support equality and inclusion rather than just CSR spending. In the manufacturing industry the corporation has also promoted the hiring of women in operational and historically male dominated positions. These programs show that corporate responsibility includes more than just making monetary donations and it also involves establishing fair opportunities within the company. Businesses actively support SDGs 5 (Gender Equality) and 8 (Decent Work and Economic Growth) by encouraging workplace inclusivity and lowering gender barriers.
2.INFOSYS LIMITED
With a focus on women’s participation in leadership, digital skill development and technological based job prospects the Infosys has integrated diversity and inclusion goals into its corporate governance and CSR framework.13 These programs show how technological driven companies may match corporate expansion with goals related to gender equality.
Judicial Recognition
1.Vishaka -vs- State of Rajasthan, 1997
The Hon’ble SC held that gender equality, dignity and safe working environment as a Fundamental Right under the Articles 14,15,19 and 21 of Indian Constitution and also laid down the VISHAKA
GUIDELINES to prevent workplace discrimination and harassment against women.
Relevancy with the subject:
The ruling established that it is the duty of employers to provide an equitable and nondiscriminatory workplace. This duty may be extended to algorithmic systems employed in hiring, promotions and employee assessments in the era of artificial intelligence. The egalitarian ideals upheld in Vishaka may be compromised if an AI- system disadvantaged women.
2. Air India -vs- Nergesh Meerza, 1981
The Hon’ble SC examined the discriminatory service conditions for female air hostesses and struck down those provisions as arbitrary and unfair. Also emphasised that employment policies cannot be based on unreasonable gender- based distinctions.
Relevancy with the subject:
The case shows that discrimination in the workplace is illegal whether it results from contemporary computational technologies or human decision-making. The Court’s acknowledged equality principles may be violated by AI-driven recruiting and promotion systems that unfairly disfavour women.
Analysis: Bridging Innovation and Equality
Beyond isolated instances of discrimination algorithmic bias has a direct influence on global sustainable development goals. Women make up around 42% of the worldwide workforce but they only hold about 32% of senior leadership roles according to the World Economic Forum’s Worldwide Gender Gap Report 2024.16 Thus, gender differences in the workplace continue to be a major problem. AI systems run the danger of perpetuating rather than eradicating these disparities when they are taught with past workplace data that reflects them. SDG 5 which aims to attain gender equality and provide equal opportunities for women in social and economic life is especially pertinent to this issue. Hiring and promotion through AI technology may unintentionally or indirectly affects and cause difficulties to women that affects the gender equality and opportunities. The fair and equal employment is the ultimate goal of SDG 8 and by succeeding it we can attain economic development and reduce the workplace inequality. Biased AI system on employment for sure affect the appointment and promotions of qualified and deserving candidates which may put down the company and affects it performance also in CSR. If the company fails to fix these problems and protect gender equality, then public opinion and trust on company might be damaged and they can meet with legal issues. So, it is not only about developing and regulating AI technically, it’s all about using it with responsibilities and care for a successful business without affecting the society in the matters like gender equality, workplace abuse, opportunities in equal and no personal interest.
Conclusion
From the above paper it can be concluded that, the development of AI is not only about its technical upgrade and it’s actually about how it works for everyone with a fair and reasonable way. To be noted that, through AI the functions in a company such as hiring, promotions and workplace opportunities have become easier with the reflection of gender bias in the society. This intentionally affects the growth of females in a society which negatively influences the gender equality and economic growth. Not only underdeveloped technology, the advanced developed AI system can also act unfair. This can be explicitly proved through the Apple Card Controversy issue. Corporate Social Responsibility (CSR) is a deduction tool for the negative impact of AI technology in companies. That is not only about social activities like helping poor, giving educational fund, it is all about the equal and unbiased system functions that does not affect the personal dignity irrespective of gender. So the function of company can support the SDG 5 and SDG 8. The development in AI through technical aspects cannot protect the interest of human the actual need is a efficient government, strong legal systems and the responsibilities of every individual in AI system making. Because the developers should build them more accountable, transparent and socially responsible. And those AI regulations and laws must actively check the biased actions of AI and ensure that businesses are not just focusing on profit motive. AI is an amusing invention by human, on regulating it everyone in the world can be benefited not only certain group of individuals. The development in AI system by following the Sustainable Development Goals and the constitutional regulations, it can be created with more efficiency and social responsibilities for a bright and upgraded future by restricting gender bias and every discrimination.
