An official inquiry has found that Germany’s justice system was staffed with former Nazis for decades after the Second World War, At one point, three out of four top officials at the prosecutor’s office were former party members.
Released on Thursday, the 600-page report was compiled by historian Friedrich Kiessling and legal scholar Christoph Safferling, and covers the Cold War period running from the early 1950s until 1974. The work was commissioned by the federal prosecutor’s office.
The researchers found that, at one point during the 1950s, roughly three in four top officials in the federal prosecutor’s office had been members of the Nazi Party. It took until 1972 before former Nazis were no longer in the majority in that office, and until 1992 before the judicial system had been fully purged of ex-members of the fascist party.
“There was no break, let alone a conscious break, with the Nazi past,” the researchers said of the situation.
Presenting the inquiry’s findings, state secretary at the justice ministry Margaretha Sudhof said the country has “long remained blind” to the presence of ex-Nazis in senior positions after the end of the Second World War.
“On the face of it they were highly competent lawyers… but that came against the backdrop of the death sentences and race laws in which they were involved,” Sudhof commented.
In a statement about the study’s publication, Justice Minister Christine Lambrecht said she welcomed “the fact that the Federal Prosecutor’s Office is also grappling with its troubled past and is shedding more light on its own Nazi entanglements in the post-war period.”
The federal prosecutor’s office is Germany’s highest prosecutorial authority, responsible for pursuing those who violate international law and commit alleged crimes relating to state security.
The latest study follows an earlier report published in 2016, which stated that in 1957 – more than a decade after the war had ended – 77% of senior officials in the justice ministry were former Nazis. At the time of that publication, then-Justice Minister Heiko Maas stated that the “Nazi-era lawyers went on to cover up old injustice rather than to uncover it, and thereby created new injustice.”
Scientists have used artificial intelligence to “predict” formulas for new designer drugs, with the stated goal of helping to improve their regulation. The AI generated formulas for nearly nine million potential new drugs.
Researchers with the University of British Columbia (UBC) used a deep neural net for the job, teaching it to make up chemical structures of potential new drugs. According to their study, released this week, the computer intelligence fared better at the task than the scientists had expected.
The research team used a database of known designer drugs – synthetic psychoactive substances – to train the AI on their structures. The market for designer drugs is ever-changing, since their manufacturers are constantly tweaking their formulas to circumvent restrictions and produce new “legal” substances, while cracking their structure takes months for law enforcement agencies, the researchers said.
“The vast majority of these designer drugs have never been tested in humans and are completely unregulated. They are a major public-health concern to emergency departments across the world,” one of the researchers, UBC medical student Dr. Michael Skinnider has said.
After its training, the AI was able to generate some 8.9 million potential designer drugs. Afterwards, researchers ran a data sheet of some 196 new drugs, which had emerged in real life after the model was trained, and found that more than 90% of these have been already predicted by the computer.
“The fact that we can predict what designer drugs are likely to emerge on the market before they actually appear is a bit like the 2002 sci-fi movie, Minority Report, where foreknowledge about criminal activities about to take place helped significantly reduce crime in a future world,” senior author Dr. David Wishart, a professor of computing science at the University of Alberta, has said.
Identifying completely unknown substances remains an issue for the AI, the research team has noted, but they hope it might potentially help with that task, since the computer was also able to predict which formulas of designer drugs were more likely to be created and hit the market. The model “ranked the correct chemical structure of an unidentified designer drug among the top 10 candidates 72 percent of the time,” while throwing in spectrometry analysis, which is an easily obtained measurement, bumped the accuracy to some 86%.
“It was shocking to us that the model performed this well, because elucidating entire chemical structures from just an accurate mass measurement is generally thought to be an unsolvable problem,” Skinnider stated.
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