Earlier quoted context omitted.
I agree with your distress at the state of the justice system, but it doesn’t make sense to say that someone was on death row without having been convicted. The article you link to explains that his convictions were overturned. Although I would never rely on information in a Wikipedia article, you did link to it, so presumably you find it credible.
Every time he was “convicted”, the prosecution was found to be in blatant violation of laws on appeal. They intimidated witnesses, kept black people off the jury, and more. So no, he was never rightfully convicted! The prosecution broke so many laws, way more than Curtis Flowers ever did! And they just did it over and over again for 20 years. None of them have faced any consequences. They effectively imprisoned an in…
A man spent a year in jail on murder charge that hinged on disputed AI evidence
201–210 of 211 posts
Re: A man spent a year in jail on murder charge that hinged on disputed AI evidence
#202Earlier quoted context omitted.
Fingerprinting is junk science. Polygraphs are junk science. Tons of things that have been or are admissible as evidence are junk science.
> Fingerprinting is junk science. How then do you explain the success of Touch ID on Apple devices and the equivalent systems on other phones and tablets? Random people can't just walk up and unlock a Touch ID device with their fingerprint, which suggests that fingerprints are in fact a very good way to tell people apart. Yes, it is possible to make a fake fingerprint that Touch ID will not be able to distinguish fro…
Do you think the forensic prints would meet the standard required by Touch ID?
Re: A man spent a year in jail on murder charge that hinged on disputed AI evidence
#203Earlier quoted context omitted.
That's the point? These systems invariably turn out to not be any sort of AI at all, but sales people ready to make a call any way their customer (police) wants it made. Later it's presented as AI to a jury. It's basically the same scam as lots of forensics, junk science to get a desired result.
Most forensic science is junk. That said, human in the loop ML can be extremely useful. Surfacing possible positive examples for human review and/or cutting down 'obvious' negatives can multiply the productivity of human reviewers in many contexts.
Human-in-the-loop ML can be extremely useful in avoiding obvious mistakes.
Human-in-the-loop ML can be extremely useful in fabricating desired results.
Re: A man spent a year in jail on murder charge that hinged on disputed AI evidence
#204Earlier quoted context omitted.
How are supervisors and elected officials making 300k (after all benefits considered) in an area with a high cost of living equal to "police commonly make above 300k"? Second, it would be absurd to account for extra income to say they make what you're saying. That's like saying a cashier at walmart works three jobs to make an average of 70k a year, so cashiers at walmart commonly make 70k a year.
I can't remember which department, but I remember the local SF/Bay news many years ago talking about some supervisor at that department somehow making $1.5 million the year before (or something insane like that.) They explained how it was all possible, which to me seemed like he had just been with them for so long, he knew exactly the optimal way to play the system and exploit all the loopholes in it. As for your sec…
An administration that squashes all overtime faces extreme wrath. They can be cutting employees' take home in half. I and plenty of others have seen people lose their houses or suffer other financial crumbles when the expectation of built-in pay far beyond their published salaries were cut off. You can argue that it is foolish to depend on such extra pay and I would agree. But when that significant extra has been their reality for all 10 years of their employment with the department, you can see how they would just plan it into their future finances.
Re: A man spent a year in jail on murder charge that hinged on disputed AI evidence
#205Earlier quoted context omitted.
I mean, drug dogs are still a thing even though we know they tend to respond to owners desires regardless of if there’s drugs present.
Wow i have never heard of that. Curious to see a link/article on the issue, if you can provide.
https://www.chicagotribune.com/news/ct-xpm-2011-01-06-ct-met...
Re: A man spent a year in jail on murder charge that hinged on disputed AI evidence
#206Re: A man spent a year in jail on murder charge that hinged on disputed AI evidence
#207Earlier quoted context omitted.
How is this a failure by software? The software categorized the sound as a fire work.
> How is this a failure by software? The outcome - a guy being charged with a crime using bogus evidence is the story. The software may have been right, but the people who operate the software didn't trust it. Regardless, the story is trying to point out we might not be ready to put our faith in AI for criminal prosecutions at this time.
Re: A man spent a year in jail on murder charge that hinged on disputed AI evidence
#208Earlier quoted context omitted.
Not all forensics disciplins are created equal and some of them, such as hair forensics, are definitely junk science.
How is hair analysis junk science? Maybe you just mean that people misuse the facts to come to incorrect conclusions? It's only supposed to be used to include or exclude someone, and based on the numbers/probabilities it's generally only useful for excluding someone. Of course that's not how most prosecutors use it...
Re: A man spent a year in jail on murder charge that hinged on disputed AI evidence
#209Earlier quoted context omitted.
In Germany and Austria you get compensated for your time incarcerated if found innocent. So as to basically "fine" the government for not having speedy trials.
that sounds fair except not great that it's just penalizing the taxpayer, not anyone in government
Re: A man spent a year in jail on murder charge that hinged on disputed AI evidence
#210Earlier quoted context omitted.
Most forensic science is junk. That said, human in the loop ML can be extremely useful. Surfacing possible positive examples for human review and/or cutting down 'obvious' negatives can multiply the productivity of human reviewers in many contexts.
> human in the loop ML can be extremely useful Human-in-the-loop ML can be extremely useful in avoiding obvious mistakes. Human-in-the-loop ML can be extremely useful in fabricating desired results.
Misusing science is a problem regardless of whether ML is the science in question. It's /already/ a big problem within criminal justice (polygraphs, psychopath tests, etc).
Avoiding 'obvious' mistakes is helpful in reducing the amount of work human raters/evaluators need to do. Automatically classifying 90% of data and leaving 10% for humans can reduce human workloads by 90%, or enable new use-cases where doing 100% of the work simply wasn't feasible. Using ML in this way doesn't make it 'fake AI.'