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The need for speed on modern slavery

Dr. James Cockayne

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Three years ago, world leaders committed to take effective measures to end modern slavery by 2030. By the best estimates, there are around 40.3 million people in modern slavery. Reaching that goal would mean 9,127 people being removed from or prevented from falling into modern slavery each and every day between now and 31 December 2030.

How close are we to meeting that proposed rate of change? Until now, the short answer has been: we don’t really know. There has been no centralized place to access information on the rate of change towards this goal.

That changed on Sunday, the International Day for the Abolition of Slavery. Delta 8.7 – a project of the Centre for Policy Research at United Nations University – began publishing country data dashboards measuring the change towards this goal.

These dashboards bring together the best available data on modern slavery, forced labour, human trafficking and child labour for each country. They also provide contextual information, including details of what each country is doing to bring these numbers down, and links to relevant legislation, national action plans and social protection arrangements. Over the coming months, more of these dashboards will be steadily rolled out.

So what do these dashboards tell us?

First, the dashboards suggest we are nowhere near the rate of change needed to meet the goal of ending modern slavery by 2030.

Even the countries that are performing best, with double-digit reductions in child labour, are not achieving the sustained reductions needed to meet the 2030 targets. Until we have more complete country coverage it will be too early to draw conclusions on a ‘global’ reduction rate, but the signs from the first set of dashboards are that a steep increase in reduction rates is needed.

Second, they show that we need to rapidly improve our ability to measure these reduction rates.

Most of the countries covered have reliable data only for child labour. Our ability to measure reduction of modern slavery, forced labour and human trafficking is much weaker. That stands to reason: countries have invested more, over a longer period, in measuring child labour. Only recently have they begun to invest in efforts to measure modern slavery and forced labour with the same scientific rigor.

There are promising signs on this front, though. In October national statisticians from around the world agreed a new method for measuring forced labour, which should make better data available in the next few years. The UN’s Office on Drugs and Crime has also been working with countries to strengthen measurement of human trafficking.

Third, the country dashboards suggest that there may be lessons from the effort against child labour for the fight against adult forms of modern slavery, forced labour and human trafficking. Some of the reductions in child labour identified in the dashboards are impressive – for example, child labour decreased 59% between 2002 and 2015 in Brazil, while in Argentina it decreased 31% in just one year between 2011 and 2012. Figuring out ‘what worked’ in the fight against child labour may be instructive as we seek to identify ‘what works’ in the fight against modern slavery – and scale it up.

Generating this type of knowledge can take time. Starting in February 2019, the project will work with partners to accelerate the knowledge-generation process on ‘Code 8.7’, by bringing artificial intelligence and machine learning into the equation. Computational science offers a way to accelerate the process of understanding what works to end modern slavery.

Ultimately, however, it will be up to world leaders to learn these lessons – whether generated by artificial intelligence or the old-fashioned human kind. Unless world leaders accelerate their own learning and efforts, chances are, we will not come close to meeting their lofty goal.

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New Social Compact

The ‘Beauty Premium’ and other forms of stereotyping are real, and they’re a workplace problem

John Antonakis

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People say “seeing is believing”, but that’s wrong. The truth is, “I will see it when I believe it”.

As an academic psychologist I have spent years, and run dozens of experiments, looking at unconscious or implicit bias and its consequences. I consider factors such as looks, ethnicity, age and gender, to see if they influence world-of-work decisions such as hiring, promotion, salary. 

The short answer is that all these factors make a difference, even though they play no real role in the evaluated person’s performance. Beliefs guide the facts we see. They shouldn’t, it’s unfair. But they do. The so-called ‘Beauty Premium’ is real, as are a host of other biases.

Taking decisions this way is not unnatural.  Evolution has fashioned us to infer, to fill in knowledge gaps. Is that rustle in the grass the wind, or a snake? Assume, infer, and take the conservative decision. That’s how we survive.

But using inference or stereotypes to guide staffing decisions is not effective because the right candidate may be overlooked and the ‘right-looking’ but wrong candidate selected.

The point is we are very quick to size people up – age, sex, appearance, even height. We fill in the blanks and give them a price tag in a stereotypically consistent way. The problem is that once we decide about something we try to justify it because we don’t like to admit we were wrong.

One study I know asked people to vote on the basis of photos, as if they showed candidates running for public office. Afterwards, the voters were given information about the ‘candidates’ (e.g., political preferences, values, etc.) and then asked to vote again. Despite now having relevant information the voters hardly changed their opinions.

I thought this might be due to past experience – perhaps people have a learned stereotype of what a ‘Leader’ should look like? So I repeated the experiment with small children, too young to have learned bias, showing them pairs of photos and asking who would make the best captain of a boat (a position of responsibility they could understand). I asked some adults to do the same test. The children and the adults chose the same photos. No experiential factor could explain the choices, it had to be nature.

But, perhaps the motivation or education level of the testers played a role? So I did a similar experiment with kids using photos of candidates for elected positions at the Association of Psychological Science (APS). All the voters and candidates were scientific psychologists. But results were the same. When no photo was available in the original ballot material the APS members voted on the basis of publication record (a reasonably good proxy for the knowledge, status, and success of the candidates). However, when there had been photos included in the ballot materials nothing mattered but the face.

Maybe business people would take decisions in a more rational way? So, we asked experimental subjects to look at photos of managers in a large multinational company, and then asked them to judge the mangers for competence and personality. We accounted statistically for everything possible – age, qualifications, and so forth. Those managers who rated higher on looks earned more.

Implicit bias is even worse for women. Factors such as being overweight count against women even more than they do for men. And it’s not just appearance. I worked with a Swiss multinational looking at the transcripts of their internal performance evaluations, and statistically controlled for everything possible.  Men had a much higher likelihood of being described in a positive way; for example, “he really knows how to put his foot down” compared to a similar woman, who “really knows how to use her elbows”.

Age discrimination was also rife across the board, even though for high-level, cognitively complex jobs there is zero correlation between performance and age. In short, age and being male predicted future job and salary levels.

So women (and anyone else who does not fit role expectations) are walking on eggs. It’s a double bind. They must demonstrate exceptional competence to be seen as equal in ability to men, but must also avoid threatening them with competence and apparent lack of warmth, or behaviour that violates social stereotypes.

An experiment run by a professor at Yale University demonstrated the penalty for violating these social norms. One male and one female actor were each asked to record two versions of the same interview, one where they were calm and one showing some anger. Their answers were the same so rationally, the man and woman should have been ranked the same in the same condition. But it turns out that if a man shows anger it is interpreted completely differently. Men can show their “guts.” Women are not allowed to show anger because they are supposed to be nice, nurturing and kind. When subjects were asked to rank the two actors, the man was seen as higher status and more competent, and offered 50 per cent higher salary. The woman was seen as out of control.

There are ways to reduce bias in the workplace. The first is to be aware of your own biases. Then you can take steps to eliminate them and so reduce discrimination.

Second is accountability.  Decisions need to be justified, with objective indicators. Be aware that every piece of information can introduce bias. How the call for applications is made – certain words will attract or discourage women. What information applicants are asked for, including photos, can matter. Who does the initial screening, and is it objective or just personal opinion?  Are the screeners different from the interview panel?  Are the same interview questions asked of all candidates and is the information aggregated independently? Are validated psychometric tests used (e.g., the most used test in the business world, the MBTI, is actually useless; it has no predictive validity).

Data is also key, it allows us to track what is happening, reveals unconscious bias and creates awareness.

Finally – men. We are part of the problem but also part of the solution. If we champion the cause we can reduce these biases. This is our problem too, not just a problem for women or minorities. Taking decisions correctly is not only the ethical thing to do, in the long run it is the economical and rational thing to do.

Source: ILO

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Rising human trafficking takes on ‘horrific dimensions’

MD Staff

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A new UN report published on Monday shows that human trafficking is on the rise and taking on “horrific dimensions”, with sexual exploitation of victims the main driver. Children now account for 30 per cent of those being trafficked, and far more girls are detected than boys.

The study from the United Nations Office on Drugs and Crime (UNODC, draws on information from 142 countries, examining trafficking trends and patterns. Yury Fedotov, Executive Director of UNODC, said that “human trafficking has taken on horrific dimensions as armed groups and terrorists use it to spread fear and gain victims to offer as incentives to recruit new fighters,” citing child soldiers, forced labour and sexual slavery as examples.

While the average numbers of reported victims had fluctuated during the earlier years for which UNODC had collected data, the global trend has shown a steady increase since 2010. Asia and the Americas are the regions which have seen the largest increase in the numbers of victims detected, which may be explained by improved methods of detecting, recording and reporting data on trafficking – or a real increase in the number of victims.

Most victims of trafficking detected outside their region of origin are from East Asia, followed by sub-Saharan Africa: whilst there has been an increase in the number of convictions for trafficking in these regions, the study concluding that large areas of impunity still exist in many Asian and African countries, and conviction rates for trafficking remain very low.

Trafficking for sexual exploitation is the most prevalent form in European countries, whilst in sub-Saharan Africa and the Middle East, forced labour is the main factor driving the illicit trade. Women and girls make up most trafficking victims worldwide: almost three-quarters of them are trafficked for sexual exploitation, and 35 per cent (women and girls) are trafficked for forced labour.

Armed conflict the focus

The main focus of the report is on the impact of armed conflict on trafficking. In conflict zones, where the rule of law is weak, and civilians have little protection from crime, armed groups and criminals may take the opportunity to traffic them. One example given in the study is the phenomenon of girls and young women in refugee camps in the Middle East being “married off” without their consent and subjected to sexual exploitation in neighbouring countries.

Addressing human trafficking is a key part of the UN Sustainable Development Agenda, requiring Member States to monitor progress in tackling the problem, and report the number of victims by sex, age and form of exploitation.

However, significant gaps in knowledge remain, with many countries in sub-Saharan Africa, South Asia and some parts of East Asia still lacking sufficient capacity to record and share data on trafficking in persons. “This report shows that we need to step up technical assistance and strengthen cooperation, to support all countries to protect victims and bring criminals to justice, and achieve the Sustainable Development Goals,” said Mr. Fedotov.

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New Social Compact

Human Trafficking: An ordeal to reckon

Muhammad Usman Ghani

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Our globe is prey to the multiple ordeals – terrorism, surging poverty, soaring unemployment, global warming, conflicts among the countries, and refugee crisis are the names to few. Every individual is mindful of such calamities. However, amongst most appealing tribulations that our planet is confronting, which is mostly depreciated, or even obscure to many is of human trafficking. In the contemporary world, human trafficking is tantamount to modern slavery. Slavery is forced labor under a threat of brutality that traces its lineage from the era of colonialism and imperialism. Racism, which was the subliminal base of slavery, is still very much active in the present times and strengthens the ethnic perplexity.

Human trafficking usually refers to a process under which individuals are placed or maintained in an exploitative condition for economic upkeep and violation of human rights. Every country in the world is vulnerable to human trafficking. Millions of kids, adult females, and men remain to be trafficked every year in all regions and in many countries of the world. Victims may be trafficked within the country or across a border for various uses. It includes forced and manipulative labor in agricultural fields, farms and private homes; forced marriage; sexual exploitation, and organ dismemberment. Around 40 million people are shackled in the chain of modern slavery worldwide, in which the Asia-Pacific region has almost 56% of trafficked persons. Women and girls are the prime victims of the market for human trafficking. According to 2018 report of Global Slavery Index, the countries which are home to the modern slaves are North Korea with 10% of its population, Eritrea (9.3%), Burundi (4%), Central African Republic (2.2%), Afghanistan (2.2%), Mauritania (2.1%), South Sudan (2%), Pakistan (1.7%), Cambodia (1.7%), and Islamic Republic of Iran (1.6%) respectively. These countries suffer from income inequality, discrimination in class, sects, and entrenched corruption.

So, one’s mind must be curious that why this menace has clutched the world with such an immense extent. The answer has multiple driving factors behind it, as human trafficking is a highly lucrative crime and produces $150 billion per year. Human trafficking takes place on many purposes, such as demand for cheap labor including the child or forced labor, demand for sexual exploitation, and demand for organs removal to name few.

The United Nation Office on Drugs and Crime (UNODC) report identifies that the most vulgar strain of human trafficking is sexual exploitation. Sex trafficking prey is maneuvered or forced against its consent to absorb in the sex exploit or to be prostituted for the money. Sex traffickers often use threats, violence, and the promise of love and affection to lure the victims. Such exercises frequently transpire at motels, rest areas, individual halls, street corners, and truck stops. Out of $150 billion, sex trafficking within the prostitution industry yields $99 billion.

Forced or cheap labor occurs in many forms, like the application of coercion or deception or force. The victims are induced to work for mere less or no money as their earnings. Labor traffickers often make hollow commitments of a high-paying job or impressive education or travel possibilities to entice people into awful working conditions. These victims can be found in manufacturing plants, farms, brick kilns, and building sites.

Multiple factors lead to human trafficking and vary from country to country according to the conditions and affairs of the state. Though, on common ground; privation of human rights, poverty, disequilibrium in social and economic affairs, political upheaval, natural disasters, and, civil unrest attribute to human trafficking. Wars, conflicts between countries, civil strife commence displacements of masses making children orphans and leaving them susceptible to human trafficking. Most of the times, parents contribute to human trafficking too. On the score of impending poverty, parents merchandise their children with this notion that their children might access the bright future.

The menace of human trafficking accommodates devastating repercussions economically and socially. On societal fronts, it undermines family ties and child neglect, and the victims who manage to escape from the trafficking often plague stigmatization. From the economic aspect, the countries which are reeling under the vicious cycle of human trafficking they lose the human resource. According to the US Department of State, child labor negatively influences their future productivity which would otherwise be put into good use.

Human trafficking affects not only the social and economic specters but also affects the health of individuals which undergo it. Adult females and children trafficked for the intentions of Sexual exploitation are at the risk of HIV/AIDS; with this when they are exposed to violence and barbarism, they sustain severe injuries which impede their mental and physical development.

To curb human trafficking the UN and the world countries have taken multiple steps. The Global Action to Prevent and Address Trafficking in Persons (GLO.ACT) and the smuggling of migrants is a four-year (2015-2019) joint initiative by the European Union (EU) and the United Nations Office on Drugs and Crime (UNODC). It is implemented with a conglomeration of the International Organization for Migration (IOM) and the United Nations Children’s Fund (UNICEF). The UNICEF accepts donations and provides training manuals on the subject of human trafficking.

Along with it, there are several functioning organizations worldwide that help citizens fight against human trafficking. However, despite the active roles of numerous organization of the world, the menace of human trafficking persists. To eradicate this menace, individuals and their government must cooperate with each other, so that future generations can be saved.

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