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How Artificial Intelligence Might Prevent You From Getting Hired

AI-based tools are being widely used in hiring processes, but they pose a significant risk of exacerbating discrimination in the workplace, leading to calls for their regulation and the implementation of third-party assessments and transparency in their use.

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AI executives may be exaggerating the dangers of artificial intelligence in order to advance their own interests, according to an analysis of responses to proposed AI regulations.
Artificial intelligence is more likely to complement rather than replace most jobs, but clerical work, especially for women, is most at risk of being impacted by automation, according to a United Nations study.
Professionals are optimistic about the impact of artificial intelligence (AI) on their productivity and view it as an augmentation to their work rather than a complete replacement, according to a report by Thomson Reuters, with concerns centered around compromised accuracy and data security.
AI tools like ChatGPT are likely to complement jobs rather than destroy them, according to a study by the International Labor Organization (ILO), which found that the technology will automate some tasks within occupations while leaving time for other duties, potentially offering benefits for developing nations, though the impact may differ significantly for men and women. The report emphasizes the importance of proactive policies, workers' opinions, skills training, and adequate social protection in managing the transition to AI.
The U.S. is falling behind in regulating artificial intelligence (AI), while Europe has passed the world's first comprehensive AI law; President Joe Biden recently met with industry leaders to discuss the need for AI regulation and companies pledged to develop safeguards for AI-generated content and prioritize user privacy.
The use of AI algorithms by insurance companies to assess claims is raising concerns about potential bias and lack of human oversight, leading Pennsylvania legislators to propose legislation that would regulate the use of AI in claims processing.
The use of copyrighted material to train generative AI tools is leading to a clash between content creators and AI companies, with lawsuits being filed over alleged copyright infringement and violations of fair use. The outcome of these legal battles could have significant implications for innovation and society as a whole.
Artificial intelligence (AI) poses risks in the legal industry, including ethical dilemmas, reputational damage, and discrimination, according to legal technology experts. Instances of AI-generated content without proper human oversight could compromise the quality of legal representation and raise concerns about professional responsibility. Additionally, the Equal Employment Opportunity Commission (EEOC) recently settled a lawsuit involving discriminatory use of AI in the workplace, highlighting the potential for AI to discriminate. Maintaining trust and credibility is crucial in the reputation-reliant field of law, and disseminating AI-generated content without scrutiny may lead to reputational damage and legal consequences for lawyers or law firms. Other legal cases involving AI include allegations of copyright infringement.
The rapid development of artificial intelligence poses similar risks to those seen with social media, with concerns about disinformation, misuse, and impact on the job market, according to Microsoft President Brad Smith. Smith emphasized the need for caution and guardrails to ensure the responsible development of AI.
Salesforce has released an AI Acceptable Use Policy that outlines the restrictions on the use of its generative AI products, including prohibiting their use for weapons development, adult content, profiling based on protected characteristics, medical or legal advice, and more. The policy emphasizes the need for responsible innovation and sets clear ethical guidelines for the use of AI.
A survey found that most Americans believe there is racial bias in corporate hiring practices, and many believe that artificial intelligence (AI) could help improve equality in hiring, although skepticism remains, particularly among Black Americans; however, concerns about the ethical use of AI remain due to biases in AI systems that favor white, male, heterosexual, able-bodied candidates. Hackajob, a UK-based hiring platform, has introduced features to increase diversity and reduce bias in tech teams, while experts emphasize the importance of addressing bias in AI datasets through diverse data collection and involving underrepresented groups in AI system development.
The increasing adoption of AI in the workplace raises concerns about its potential impacts on worker health and well-being, as it could lead to job displacement, increased work intensity, and biased practices, highlighting the need for research to understand and address these risks.
The rapid integration of AI technologies into workflows is causing potential controversies and creating a "ticking time bomb" for businesses, as AI tools often produce inaccurate or biased content and lack proper regulations, leaving companies vulnerable to confusion and lawsuits.
Tech workers fearful of being replaced by AI are now seeking AI jobs, as employers like Apple, Netflix, and Amazon are hiring specialists in AI and machine learning, offering high-paying positions in response to the AI wave.
Artificial intelligence (AI) tools can put human rights at risk, as highlighted by researchers from Amnesty International on the Me, Myself, and AI podcast, who discuss scenarios in which AI is used to track activists and make automated decisions that can lead to discrimination and inequality, emphasizing the need for human intervention and changes in public policy to address these issues.
U.S. employers are using AI to quantify and dehumanize workers in the workplace, according to author Ifeoma Ajunwa.
Artificial intelligence (AI) offers promising solutions in HR, from streamlining recruitment processes to predicting employee turnover, but challenges such as data privacy and algorithmic biases remain, emphasizing the need for a human-centric approach that complements AI technology.
New AI tools are being developed to help employees take control of their mental health in the workplace, offering real-time insights and recommendations for support, and studies show that a majority of employees are willing to consent to AI-powered mental health tracking.
A taskforce established by the UK Trade Union Congress (TUC) aims to develop legislation to protect workers from the negative impacts of artificial intelligence (AI) in the workplace, focusing on issues such as privacy infringement and potential discrimination. The TUC taskforce plans to produce a draft law next spring, with the support of both Labour and Conservative officials, aimed at ensuring fair and just application of AI technologies.
The use of AI in the entertainment industry, such as body scans and generative AI systems, raises concerns about workers' rights, intellectual property, and the potential for broader use of AI in other industries, infringing on human connection and privacy.
Some companies in the Phoenix area are hiring due to the implementation of artificial intelligence (AI), challenging the notion that AI will replace human workers and negatively impact the job market.
Artificial intelligence will disrupt the employer-employee relationship, leading to a shift in working for tech intermediaries and platforms, according to former Labor Secretary Robert Reich, who warns that this transformation will be destabilizing for the U.S. middle class and could eradicate labor protections.
Workers are experiencing high levels of stress and fear of job loss due to artificial intelligence (AI), with younger workers, employees of color, and those with a high school degree or less being more worried about AI's effect on jobs; the survey also found that being monitored at work negatively affects mental health.
The lack of regulation surrounding artificial intelligence in healthcare is a significant threat, according to the World Health Organization's European regional director, who highlights the need for positive regulation to prevent harm while harnessing AI's potential.
Small and medium businesses are open to using AI tools to enhance competitiveness, but have concerns about keeping up with evolving technology and fraud risks, according to a study by Visa.
AI integration requires organizations to assess and adapt their operating models by incorporating a dynamic organizational blueprint, fostering a culture that embraces AI's potential, prioritizing data-driven processes, transitioning human capital, and implementing ethical practices to maximize benefits and minimize harm.
Artificial Intelligence poses real threats due to its newness and rawness, such as ethical challenges, regulatory and legal challenges, bias and fairness issues, lack of transparency, privacy concerns, safety and security risks, energy consumption, data privacy and ownership, job loss or displacement, explainability problems, and managing hype and expectations.
The use of AI in the film industry has sparked a labor dispute between actors' union SAG-AFTRA and studios, with concerns being raised about the potential for AI to digitally replicate actors' images without fair compensation, according to British actor Stephen Fry.
Companies that delay adopting artificial intelligence (AI) risk being left behind as current AI tools can already speed up 20% of worker tasks without compromising quality, according to a report by Bain & Co.'s 2023 Technology Report.
AI adoption is rapidly increasing, but it is crucial for businesses to establish governance and ethical usage policies to prevent potential harm and job loss, while utilizing AI to automate tasks, augment human work, enable change management, make data-driven decisions, prioritize employee training, and establish responsible AI governance.
The use of third-party AI tools poses risks for organizations, with more than half of all AI failures coming from third-party tools, and companies are advised to expand responsible AI programs, properly evaluate third-party tools, prepare for regulation, engage CEOs in responsible AI efforts, and invest in responsible AI to reduce these risks.