Global Affairs
China Leads List Of Labor Abusers, Sometimes Akin To Slavery, Detected On Fishing Vessels Worldwide
Hazardous, forced work conditions sometimes akin to slavery have been detected on nearly 500 industrial fishing vessels around the world, but identifying those responsible for abuses at sea is hampered by a lack of transparency and regulatory oversight, a new report concluded.
The research by the Financial Transparency Coalition, a Washington, D.C.-based nonprofit organization that tracks illicit money flows, is the most comprehensive attempt to date to identify the companies operating vessels where tens of thousands of workers every year are estimated to be trapped in unsafe conditions.
The report, published Wednesday, found that a quarter of vessels suspected of abusing workers are flagged to China, whose distant water fleet dominates fishing on the high seas, traditionally lawless areas beyond the jurisdiction of any single country. Vessels from Russia, Spain, Thailand, Taiwan and South Korea were also accused of mistreatment of fishers.
Forced labor in the seafood industry is a rarely seen but common phenomenon, one increasingly recognized as a “widespread human rights crisis,” according to the report’s authors. The Associated Press in 2015 uncovered the plight of thousands of migrant workers from Myanmar, Cambodia and Laos who were abused while employed on Thai vessels whose catch often ended up in the United States.
Globally, as many as 128,000 fishers face threats of violence, debt bondage, excessive overtime and other conditions indicative of forced labor, according to the U.N.’s International Labor Organization.
U.S. and European companies are under increasing pressure to clean up supply chains in labor-intensive industries where worker abuse is widespread. The Financial Action Task Force set up by the Group of Seven wealthiest democracies has identified illegal logging and mining as a key driver of money laundering and encouraged its members to set up publicly available databases to raise awareness about the financial flows that fuel environmental crimes.
However, the seafood industry has so far escaped the same scrutiny, in part because governments often lack the tools to regulate what takes place hundreds of miles from land. This week, President Joe Biden’s administration decided to abandon a planned expansion of the flagship Seafood Import Monitoring Program used to prevent illegal fishing and forced labor on foreign vessels, which supply about 80% of the seafood Americans eat.
“We are once again seeing the heartbreaking reality of what is happening on some commercial fishing vessels out at sea and it’s completely unacceptable,” Beth Lowell, vice president in the U.S. for the conservation group Oceana, said about the report, which she had no role in. “Forced labor and other human rights abuses should not be the cost for a seafood dinner.”
The National Oceanic and Atmospheric Administration said Tuesday that it decided to shelve the planned expansion after receiving public feedback on the proposed rule changes and would instead focus its attention on improving the impact of the current import monitoring program, which covers around 1,100 species.
Another obstacle to transparency: offenders are frequently licensed by governments like Panama and Belize with reputations for financial secrecy and minimal oversight of their fleets. Of the vessels suspected of abuse and whose ownership could be identified by the Financial Transparency Coalition, 18% flew so-called flags of convenience companies use to avoid careful examination and hide their shareholder structure.
The report identified two Chinese companies — ZheJiang Hairong Ocean Fisheries Co. and Pingtan Marine Enterprises — as the worst offenders, with 10 and seven vessels, respectively, accused of human rights violations. A third company, state-owned China National Fisheries Corp., had five.
None of the companies responded to AP’s request for comment. But ZheJiang Hairong in a statement last year to the state-owned Fujian Daily claimed ownership of only five of the 10 vessels that would later appear on the Financial Transparency Coalition’s list. Pingtan last year was sanctioned by the Biden administration over allegations of illegal fishing and labor abuse. and later saw its shares delisted from the New York Stock Exchange.
The Financial Transparency Coalition scoured government reports, media accounts and complaints by advocacy groups to come up with a list of 475 individual vessels suspected of forced labor since 2010. Of that amount, flag information was available for only about half of the total — another indication of the need for greater ownership transparency, the group says.
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The Implications Of Controlling High-Level Artificial Super Intelligence (ASI)
Artificial Super Intelligence (ASI)
By Clint Bailey | ‘Voice of EU’
The notion of artificial intelligence surpassing humanity has long been a topic of discussion, and recent advancements in programs have reignited concerns. But can we truly control super-intelligence? A closer examination by scientists reveals that the answer is highly unlikely.
Unraveling The Challenge:
Controlling a super-intelligence that surpasses human comprehension necessitates the ability to simulate and analyze its behavior. However, if we are unable to comprehend it, creating such a simulation becomes an impossible task. This lack of understanding hinders our ability to establish rules, such as “cause no harm to humans,” as we cannot anticipate the scenarios that an AI might generate.
The Complexity Of Super-Intelligence:
Super-intelligence presents a distinct challenge compared to conventional robot ethics. Its multifaceted nature allows it to mobilize diverse resources, potentially pursuing objectives that are incomprehensible and uncontrollable to humans. This fundamental disparity further complicates the task of governing and setting limits on super-intelligent systems.
Drawing Insights From The Halting Problem:
Alan Turing’s halting problem, introduced in 1936, provides insights into the limitations of predicting program outcomes. While we can determine halting behavior for specific programs, there is no universal method capable of evaluating every potential program ever written. In the realm of artificial super-intelligence, which could theoretically store all possible computer programs in its memory simultaneously, the challenge of containment intensifies.
The Uncontainable Dilemma:
When attempting to prevent super-intelligence from causing harm, the unpredictability of outcomes poses a significant challenge. Determining whether a program will reach a conclusion or continue indefinitely becomes mathematically impossible for all scenarios. This renders traditional containment algorithms unusable and raises concerns about the reliability of teaching AI ethics to prevent catastrophic consequences.
The Limitation Conundrum:
An alternative approach suggested by some is to limit the capabilities of super-intelligence, such as restricting its access to certain parts of the internet or networks. However, this raises questions about the purpose of creating super-intelligence if its potential is artificially curtailed. The argument arises: if we do not intend to use it to tackle challenges beyond human capabilities, why create it in the first place?
READ: ALL ABOUT ARTIFICIAL INTELLIGENCE
Urgent Reflection – The Direction Of Artificial Intelligence:
As we push forward with artificial intelligence, we must confront the possibility of a super-intelligence beyond our control. Its incomprehensibility makes it difficult to discern its arrival, emphasizing the need for critical introspection regarding the path we are treading. Prominent figures in the tech industry, such as Elon Musk and Steve Wozniak, have even called for a pause in AI experiments to evaluate safety and potential risks to society.
The potential consequences of controlling high-level artificial super-intelligence are far-reaching and demand meticulous consideration. As we strive for progress, we must strike a balance between pushing the boundaries of technology and ensuring responsible development. Only through thorough exploration and understanding can we ensure that AI systems benefit humanity while effectively managing their risks.
We Can’t Thank You Enough For Your Support!
— By Clint Bailey, Team ‘THE VOICE OF EU‘
— For Information: Info@VoiceOfEU.com
— For Anonymous News Submissions: Press@VoiceOfEU.com
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