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Reducing Sexual Harassment Cases At The Workplace And More Using AI Technologies

Blog: Indium Software - Big Data

Women and even men today are subjected to some sort of sexual harassment. For many years, this went unnoticed, but in 2018, a major media campaign exposed sexual harassment allegations involving film directors, corporate executives, photographers, and others. This sparked the #MeToo movement on social media, in which a large number of people who had been harassed in their lives raised their voices. The scale of the movement spurred a similar survey in the United States in 2019, which found that 76 percent of all women had experienced verbal sexual harassment, compared to 43 percent of all men.

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 According to the UN’s predictions, one in every three women will be sexually assaulted at least once in their lifetime. Dishearteningly, every 20 minutes, a rape happens. Despite this, most women and girls do not speak up about abuse for a variety of reasons, including fear of culture, society, victim-blaming, fear of the authorities, and time-consuming official procedures.  

When it comes to working women, at some point throughout their career, 25% of women will be subjected to sexual harassment in the workplace. And the truth is that sexual harassment instances, whether they are reported or not, are detrimental and costly to both the employee and the employer. 

Sexual harassment meets AI 

While the use of AI/ML technologies to monitor personnel is a relatively new topic. Information and cyber-security teams have been monitoring and securing sensitive data flow for decades. 

Unfortunately, since 2005, the average frequency of data breaches has increased by tenfold. As a result, the information security and data security businesses are evolving to meet the demand. Now, to prevent sensitive data leaks, the role of Artificial Intelligence (AI) becomes important. AI algorithms use Machine Learning (ML) to adapt over time to make the mechanism ‘smarter’ and ‘securer’ over time. As such, now, AI is swiftly making its way into the human resources space, where it will be used to monitor and defend the more sophisticated and human side of digital workplace exchanges. 

Artificial intelligence could be HR’s solution for detecting cases of sexual harassment before they escalate into a situation that is harmful to both the victim and the employer. 

Without artificial intelligence algorithms, monitoring tools rely solely on keyword matching to detect questionable digital communications. Without AI’s contextual analysis, harmful circumstances go undetected: Keyword detection alone typically results in a slew of false positives. 

Artificial Intelligence’s function in reducing gender-based violence is being closely examined because it has already permeated the industry and organizational structure. Gender-based violence incidents have been recognized using innovative solutions. 

Some such AI innovations are:

The timely registration and reporting of sexual assault incidents is one of the most difficult responsibilities involved with sexual assault. However, due to cultural pressures, these occurrences are either not reported or the specifics of sexual attacks are not properly recorded. To address this issue, Lieutenant Colonel Peabrom Mekhiyanont from Thailand developed a chatbot that offers a holistic way to assisting victims from the start to finish.  

The device known as Sis bot, gives 24-hour information services such as how to report a sexual assault to the cops, how to preserve evidence, and what support services or reparations sexual assault survivors are legally entitled to. 

Individuals can share their personal accounts of sexual harassment and abuse in public settings on Safecity’s website, which categorizes them by location, time, and type of harassment. This information is then compiled into hotspots on a map that indicate local trends. Safe routes and heatmaps powered by AI automate this process, increasing efficiency and accuracy of determining the safety index of a space. 

The new Nex AI model, which followed the #MeToo movement, can help avoid sexual harassment and assault in the workplace. The bot analyses and reads anomalies in the wording, frequency, or timing of communication, therefore drawing patterns across weeks, using machine learning algorithms. With this it spots potential bullying and sexual harassment in corporate documents, emails, and chats. After the pattern has been identified, it is forwarded to a lawyer and an HR manager for additional investigation. Nex AI has already been implemented in 50 multinational firms, including London-based law firms. 

Aware is another technology that is being used for the purpose of minimizing sexual assault instances in the workplace. It uses artificial intelligence and machine learning, specifically in human resources and enables businesses in detecting, investigating, and responding to offensive messages early on. The victim isn’t required to report the incident to a higher level. Aware uses Predictive AI to discover compromising behavior of employees. 

Spot is a chatbot powered by artificial intelligence (AI) that uses natural language processing (NLP) techniques to advise victims through the incident. After a user signs in, the messaging platform establishes clear expectations, guiding them through the process by asking one question at a time and allowing them to change their replies. It next asks users to recollect the incident’s facts, followed by questions that, unlike an in-person interview, are not impacted by human prejudices.  

Spot accomplishes this by employing Cognitive Interview, a technique used by psychologists and cops to increase the quality and quantity of facts people can remember. Organizations in the United States, the United Kingdom, Japan, and India, among others, use Spot to reduce the number of sexual assaults. 

Instagram began removing abusive comments in 2017 with the help of an AI tool, DeepText, which was developed by a multilingual group to identify and filter toxic words and emojis in English, French, Arabic, German, and Portuguese. It has also recently started detecting attacks on people looks or character, such as in split-screen images. It also searches for threats against people who appear in photos and captions. 

Safer is an AI-powered technology that tries to stop the spread of abusive information, locate victims, and track down abusers. It detects fresh and unreported child sexual assault material (CSAM) using machine learning. 

You must read this piece: 10 Promising Enterprise AI Trends 2022

Key takeaways 

The application of artificial intelligence (AI) to sexual harassment investigations is vast. It can assist in reducing future crimes by researching the behavior of potential assailants, detecting risky locations in a community, and much more by analyzing large datasets. 

75 percent of sexual harassment cases go unreported. These can be automatically discovered with artificial intelligence in the workplace. Using AI technologies, organizations can protect their employees, the firm, and the culture from hostile personnel who would otherwise be harmful to the workforce. 

The post Reducing Sexual Harassment Cases At The Workplace And More Using AI Technologies appeared first on Indium Software.

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