Even as it depresses economies across the world, the coronavirus pandemic has sparked a new period of growth and development for facial recognition technology. Once we open Pandora’s box, can we force it shut again?
Presentation by Samantha Bradshaw at the 2019 CMPF Summer School for Journalists and Media Practitioners - Covering Political Campaigns in the Age of Data, Algorithms & Artificial Intelligence
The algorithms that are already changing your life By.Dr.Mahboob ali khan PhdHealthcare consultant
It is hoped that AI will relieve some of the pressure on busy hospitals by diagnosing disease and recommending treatment options quickly and efficiently.Medicine is primed to be a chief beneficiary of artificial intelligence. AI can diagnose diseases from telltale groups of symptoms, strange patterns in blood tests, and the subtle abnormalities that cells display as a disease begins takes hold. Time and again, AI systems are found to pick up signs of illness that are unknown to doctors, making the AIs more accurate as a result.
GIVING UP PRIVACY FOR SECURITY: A SURVEY ON PRIVACY TRADE-OFF DURING PANDEMIC...ijcisjournal
While the COVID-19 pandemic continues to be as complex as ever, the collection and exchange of data in the light of fighting coronavirus poses a major challenge for privacy systems around the globe. The disease’s size and magnitude are not uncommon but it appears to be at the point of hysteria surrounding it. Consequently, in a very short time, extreme measures for dealing with the situation appear to have become
the norm. Any such actions affect the privacy of individuals in particular. In some cases, there is intensive monitoring of the whole population while the medical data of those diagnosed with the virus is commonly circulated through institutions and nations. This may well be in the interest of saving the world from a deadly disease, but is it appropriate and right? Although creative solutions have been implemented in many countries to address the issue, proponents of privacy are concerned that technologies will eventually erode privacy, while regulators and privacy supporters are worried about what kind of impact this could bring. While that tension has always been present, privacy has been thrown into sharp relief by the sheer urgency
of containing an exponentially spreading virus. The essence of this dilemma indicates that establishing the right equilibrium will be the best solution. The jurisprudence concerning cases regarding the willingness of public officials to interfere with the constitutional right to privacy in the interests of national security or public health has repeatedly proven that a reasonable balance can be reached.
How to protect privacy sensitive data that is collected to control the corona...Ulf Mattsson
In Singapore, the Government launched an app using short-distance Bluetooth signals to connect one phone using the app with another user who is close by. It stores detailed records on a user's phone for 21 days decrypt the data if there is a public health risk related to an individual's movements.
China used a similar method to track a person's health status and to control movement in cities with high numbers of coronavirus cases. Individuals had to use the app and share their status to be able to access public transportation.
The keys to addressing privacy concerns about high-tech surveillance by the state is de-identifying the data and giving individuals control over their own data. Personal details that may reveal your identity such as a user's name should not be collected or should be protected with access to be granted for only specific health purposes, and data should be deleted after its specific use is no longer needed.
We will discuss how to protect privacy sensitive data that is collected to control the coronavirus outbreak.
Presentation by Samantha Bradshaw at the 2019 CMPF Summer School for Journalists and Media Practitioners - Covering Political Campaigns in the Age of Data, Algorithms & Artificial Intelligence
The algorithms that are already changing your life By.Dr.Mahboob ali khan PhdHealthcare consultant
It is hoped that AI will relieve some of the pressure on busy hospitals by diagnosing disease and recommending treatment options quickly and efficiently.Medicine is primed to be a chief beneficiary of artificial intelligence. AI can diagnose diseases from telltale groups of symptoms, strange patterns in blood tests, and the subtle abnormalities that cells display as a disease begins takes hold. Time and again, AI systems are found to pick up signs of illness that are unknown to doctors, making the AIs more accurate as a result.
GIVING UP PRIVACY FOR SECURITY: A SURVEY ON PRIVACY TRADE-OFF DURING PANDEMIC...ijcisjournal
While the COVID-19 pandemic continues to be as complex as ever, the collection and exchange of data in the light of fighting coronavirus poses a major challenge for privacy systems around the globe. The disease’s size and magnitude are not uncommon but it appears to be at the point of hysteria surrounding it. Consequently, in a very short time, extreme measures for dealing with the situation appear to have become
the norm. Any such actions affect the privacy of individuals in particular. In some cases, there is intensive monitoring of the whole population while the medical data of those diagnosed with the virus is commonly circulated through institutions and nations. This may well be in the interest of saving the world from a deadly disease, but is it appropriate and right? Although creative solutions have been implemented in many countries to address the issue, proponents of privacy are concerned that technologies will eventually erode privacy, while regulators and privacy supporters are worried about what kind of impact this could bring. While that tension has always been present, privacy has been thrown into sharp relief by the sheer urgency
of containing an exponentially spreading virus. The essence of this dilemma indicates that establishing the right equilibrium will be the best solution. The jurisprudence concerning cases regarding the willingness of public officials to interfere with the constitutional right to privacy in the interests of national security or public health has repeatedly proven that a reasonable balance can be reached.
How to protect privacy sensitive data that is collected to control the corona...Ulf Mattsson
In Singapore, the Government launched an app using short-distance Bluetooth signals to connect one phone using the app with another user who is close by. It stores detailed records on a user's phone for 21 days decrypt the data if there is a public health risk related to an individual's movements.
China used a similar method to track a person's health status and to control movement in cities with high numbers of coronavirus cases. Individuals had to use the app and share their status to be able to access public transportation.
The keys to addressing privacy concerns about high-tech surveillance by the state is de-identifying the data and giving individuals control over their own data. Personal details that may reveal your identity such as a user's name should not be collected or should be protected with access to be granted for only specific health purposes, and data should be deleted after its specific use is no longer needed.
We will discuss how to protect privacy sensitive data that is collected to control the coronavirus outbreak.
Biometric technologies use biological features such as fingerprints, veins, faces and irises to identify individuals. They greatly improve the accuracy and reliability of identification and verification systems by taking out the element of human error. In the area of public safety, biometric technologies in the form of fingerprinting, iris and facial recognition have made a significant contribution to border control and law enforcement. Brought to you by NEC. To find out more, do visit http://www.nec.com/safety
10 Criminology in the FutureCriminology in the FutureKristop.docxhyacinthshackley2629
10 Criminology in the Future
Criminology in the Future
Kristopher Freitag, Javielle Watson, Michael Westphal, Starcia Zeigler
CJA/314
April 7, 2014
Judy Mazzucca
Technology is advancing in every aspect of the criminal justice system, from the investigation to the prosecution of the crimes. Crime fighting methodologies have the potential to greatly assist law enforcement in the war on crime. Some experts even think that some software and tools will be able to help prevent crime. (Yeung, n.d.). Methodologies, such as mandating DNA collection programs, biometrics, and implementing cybercrime spyware programs are on the list of the next big things of the future, when it comes to fighting crime. DNA testing helps law enforcement investigate and prosecute crimes, as well as clear the names of those who have been wrongfully convicted. There are currently about twenty states with laws requiring DNA collection at the time of the person’s arrest. The federal government also has this requirement. As, with any controversial subject, DNA testing has its critics. Some are saying that DNA testing is in violation of the Fourth Amendment, especially for those who have not been convicted of a crime. Others are concerned that DNA testing may open the doors for abuse of the genetic information being stored in the databases. (Berson, n.d.). Biometrics are automated methods of recognizing a person based on physiological or behavioral characteristics. Some of the features measured using biometrics are handwriting, voice, iris, hand geometry, vein, retinal, and fingerprints. Biometric based solutions provide personal data privacy, and confidential financial transactions, and are starting to become the foundation of an extensive array of highly secure identification and personal verification solutions. The need for highly secure identification and personal verification technologies is great, due to the increased number of transaction fraud and security breaches. This need is especially great in the areas of local, state, and federal governments. Infrastructures such as electronic banking, health and social services, law enforcement, and retail sales are already taking advantage of, and seeing the benefits of biometric technology. ("The Biometrics Consortium", n.d.).
As we become more and more dependent on technology, the increase of cybercrimes are skyrocketing, which has forced law enforcement to figure out ways of combatting cybercrimes. We have become extremely vulnerable to many cybercrimes, including social media fraud, which consists of cyber criminals using social media to steal the identities of unsuspecting people; and luring people to download malicious materials, or reveal their passwords; corporate security breaches, which consists of cyber criminals exploiting company employees via scams; and phishing, which involves cyber criminals targeting company employees by sending emails that appear to be from someone within the company. ("Homeland .
Pandemic and Security: Reengineering of Human Identification MediaJuan Moratto
Argentina, like other countries, determined that face mask are “of compulsory social use”, a logical measure from the health point of view that causes and will cause difficulties in security and law enforcement: all people transit with their hidden, masked face, day or night.
What implications does it have? Any criminal act will go unpunished unless police catch the perpetrator red-handed (flagrant). Outside of this, most crimes will go unpunished and criminals can move freely without risk.
Over the last decades, globalisation has led to a new class of global citizens. While the access to this global citizenship is still not spread evenly, many have enjoyed the freedom to move, work, and travel with no limits. However, this cosmopolitan globalisation rhetoric of a borderless world has been drastically slowed down by Covid-19. This pandemic has introduced a new level of uncertainty in global affairs and led many to question whether citizens will be able to continue enjoying the freedom of movement once the crisis is over. To share this article: https://apolitical.co/en/solution_article/will-covid-19-be-the-end-of-the-global-citizen To cite this article: Calzada, I. (2020), Will Covid-19 be the end of the global citizen? Apolitical. Retrieved from: https://apolitical.co/en/solution_article/will-covid-19-be-the-end-of-the-global-citizen DOI: 10.13140/RG.2.2.11942.27208/1.
2020521 Artificial Intelligence Wont Save Us From Coronavir.docxdomenicacullison
2020/5/21 Artificial Intelligence Won't Save Us From Coronavirus | WIRED
https://www.wired.com/story/artificial-intelligence-wont-save-us-from-coronavirus/ 1/6
ALEX ENGLER IDEAS 04.26.2020 08:00 AM
Artificial Intelligence Won't Save Us From
Coronavirus
The hype is real, but the potential is not: Approach claims around AI and
Covid-19 with skepticism.
Fever detection is a plausible use case of AI, but it will take far more time, effort, and money to build systems that are robust enough
to trust. PHOTOGRAPH: ELIJAH NOUVELAGE/BLOOMBERG/GETTY IMAGES
https://www.wired.com/contributor/alex-engler
https://www.wired.com/category/ideas
2020/5/21 Artificial Intelligence Won't Save Us From Coronavirus | WIRED
https://www.wired.com/story/artificial-intelligence-wont-save-us-from-coronavirus/ 2/6
ARTIFICIAL INTELLIGENCE IS here to save us from coronavirus. It spots new outbreaks,
identifies people with fevers, diagnoses cases, prioritizes the patients most in need, reads the
scientific literature, and is on its way to creating a cure.
If only.
WIRED OPINION
ABOUT
Alex Engler is a David M. Rubenstein Fellow at the Brookings Institution and an adjunct
professor and affiliated scholar at Georgetown University’s McCourt School of Public Policy.
As the world confronts the outbreak of coronavirus, many have lauded AI as our omniscient
secret weapon. Although corporate press releases and some media coverage sing its praises, AI
will play only a marginal role in our fight against Covid-19. While there are undoubtedly ways
in which it will be helpful—and even more so in future pandemics—at the current moment,
technologies like data reporting, telemedicine, and conventional diagnostic tools are far more
impactful. So how can you avoid falling for the AI hype? In a recent Brookings Institution
report, I identified the necessary heuristics for a healthy skepticism of AI claims around Covid-
19.
Let’s start with the most important rule: always look to the subject matter experts. If they are
applying AI, fantastic! If not, be wary of AI applications from software companies that don’t
employ those experts. Data is always dependent on its context, which takes expertise to
understand. Does data from China apply to the United States? How long might exponential
growth continue? By how much will our interventions reduce transmission? All models, even
AI models, make assumptions about questions like these. If the modelers don’t understand
those assumptions, their models are more likely to be harmful than helpful.
Thankfully, in the case of Covid-19, epidemiologists know quite a bit about the context of the
data. Even though the virus is new and there is much to be learned, there is tremendous depth
https://brookingsinstitution-my.sharepoint.com/:w:/r/personal/aengler_brookings_edu/_layouts/15/Doc.aspx?sourcedoc=%7B88105CD7-4510-43F4-B708-64D18DFFA284%7D&file=OpEd-AISkepticism-COVID-19_KS1.docx&action=default&mobileredirect=true&cid=141bd.
2020521 Artificial Intelligence Wont Save Us From Coronavir.docxvickeryr87
2020/5/21 Artificial Intelligence Won't Save Us From Coronavirus | WIRED
https://www.wired.com/story/artificial-intelligence-wont-save-us-from-coronavirus/ 1/6
ALEX ENGLER IDEAS 04.26.2020 08:00 AM
Artificial Intelligence Won't Save Us From
Coronavirus
The hype is real, but the potential is not: Approach claims around AI and
Covid-19 with skepticism.
Fever detection is a plausible use case of AI, but it will take far more time, effort, and money to build systems that are robust enough
to trust. PHOTOGRAPH: ELIJAH NOUVELAGE/BLOOMBERG/GETTY IMAGES
https://www.wired.com/contributor/alex-engler
https://www.wired.com/category/ideas
2020/5/21 Artificial Intelligence Won't Save Us From Coronavirus | WIRED
https://www.wired.com/story/artificial-intelligence-wont-save-us-from-coronavirus/ 2/6
ARTIFICIAL INTELLIGENCE IS here to save us from coronavirus. It spots new outbreaks,
identifies people with fevers, diagnoses cases, prioritizes the patients most in need, reads the
scientific literature, and is on its way to creating a cure.
If only.
WIRED OPINION
ABOUT
Alex Engler is a David M. Rubenstein Fellow at the Brookings Institution and an adjunct
professor and affiliated scholar at Georgetown University’s McCourt School of Public Policy.
As the world confronts the outbreak of coronavirus, many have lauded AI as our omniscient
secret weapon. Although corporate press releases and some media coverage sing its praises, AI
will play only a marginal role in our fight against Covid-19. While there are undoubtedly ways
in which it will be helpful—and even more so in future pandemics—at the current moment,
technologies like data reporting, telemedicine, and conventional diagnostic tools are far more
impactful. So how can you avoid falling for the AI hype? In a recent Brookings Institution
report, I identified the necessary heuristics for a healthy skepticism of AI claims around Covid-
19.
Let’s start with the most important rule: always look to the subject matter experts. If they are
applying AI, fantastic! If not, be wary of AI applications from software companies that don’t
employ those experts. Data is always dependent on its context, which takes expertise to
understand. Does data from China apply to the United States? How long might exponential
growth continue? By how much will our interventions reduce transmission? All models, even
AI models, make assumptions about questions like these. If the modelers don’t understand
those assumptions, their models are more likely to be harmful than helpful.
Thankfully, in the case of Covid-19, epidemiologists know quite a bit about the context of the
data. Even though the virus is new and there is much to be learned, there is tremendous depth
https://brookingsinstitution-my.sharepoint.com/:w:/r/personal/aengler_brookings_edu/_layouts/15/Doc.aspx?sourcedoc=%7B88105CD7-4510-43F4-B708-64D18DFFA284%7D&file=OpEd-AISkepticism-COVID-19_KS1.docx&action=default&mobileredirect=true&cid=141bd.
Future of privacy - An initial perspective - Stephen Deadman, VodafoneFuture Agenda
An initial perspective on the future of privacy by Stephen Deadman, Group Privacy Officer at Vodafone. This is the starting point for the global future agenda discussions taking place through 2015 as part of the the futureagenda2.0 programme. www.futureagenda.org
With the rapid development of the Internet, a big data era chara.docxadolphoyonker
With the rapid development of the Internet, a big data era characterized by information explosion is coming. Public security relies on predictive policing to improve its work efficiency. Predictive policing based on large data analysis, it predicts which area of a city is most likely to occurs crimes and where criminals are most likely to be found. Privacy and civil rights must be seriously considered the problems of predictive policing, especially those who are predicted as offenders or victims. In the fiction short story “The Minority Report” by Philip K. Dick, describing Washington in 2054, the judicial system has been able to predict crime through psychological technology, system helps arrest the before he commits the crime. Dick shows his concern about predictive policing, which has been consistently developed; however, the main problem with predictive policing is its reliability. Although this is only a science fiction vision of the future, PredPol has made it a reality to some extent. Recently, the Los Angeles Police Department announced an expansion of the use of crime prediction software to speculate when and where crime is most likely to occur. Dick’s concern supports modern criticism of predictive policing and technology that crime prediction models are based on flawed statistics that reflect inherent prejudices in the criminal justice system.
Dick’s concern about predictive policing were that it is not accurate and contain lots of flaw. John Anderton, one of the elites of the pre-crime team, was accused of murdering a man he didn't know. In the process of his death and pursuit, Anderton learned that it was the three “PreCogs” who had the power to decide whether a person's guilt was ultimately established. If two of them are found guilty and the other disagrees, the last one is in the minority, whose opinion is called Minority Report. In story, Anderton states, "If the system can survive only by imprisoning innocent people, then it deserves to be destroyed. My personal safety is important because I'm a human being. And furthermore-"(Anderton, 114) By using the word “innocent,” Dick shows the potential unreliability of the predict technology. After reconsidered the meaning of pre-crime system, Anderton realized that what he has believed was successful is all built on the suffering of the people and threatening their lives. Dick emphasizes that the predictive technology should seek a balance between protecting individual privacy and safety. This action makes the argument of whether the society should trust the predictive policing system. In the end, Anderton did not kill the person who appeared in the Precogs’ prediction. However, the matter is that it's not possible to penalize someone before he commits a criminal offense simply because he's judged to own a motive.
The not accuracy and flaws contain in predictive policing that Dick’s concern has still value in the modern society… (missing second part of the prompt which is Analyze.
Evolution of Bias in Artificial Intelligence and Solution the big problemAbdulla Hisham
Humans developed Machines. Humans have 150+ bias and hence now Machines are biased too !
It talks about, Evolution of Bias in AI and solution to the big problem.
9 Trends in Identity Verification (2023) by RegulaRegula
Regula held an internal panel discussion and compiled nine expert opinion-based identity verification trends to watch and leverage in 2023. You can find the full text in our blog: https://regulaforensics.com/blog/identity-verification-trends-2023/
Brands Need to Adjust to a Quarantine State of MindBennat Berger
As exhaustingly ever-present as it might seem now, COVID-19 will eventually fade. Doors will open, streets will refill, and our paused lives will finally, at long last, resume. But for businesses, resuming operations won’t be as simple as flipping on the lights and leaving an “open” sign in the window.
Taking a Byte Out of Real Estate With CryptocurrencyBennat Berger
Whether it’s a bubble or bona fide, anyone who pays even cursory attention to the financial world can’t deny that bitcoin is a force to be reckoned with.
Bennat Berger: The Era of EVs is Closer Than You ThinkBennat Berger
Electric vehicles (EVs) have been around for more than a century, but have only recently been adopted as the vehicle of the future.
Their rise comes as more people become conscientious about the devastating effects of fuel emissions
and seek alternative fuel sources.
Tech’s Growing Role in the Wake of Natural Disasters - Bennat BergerBennat Berger
Tech is making life a lot more efficient…but it can do a lot more than get you a ride home. It holds the potential to save countless lives and greatly reduce the damage when nature strikes.
More Related Content
Similar to Could COVID-19 Kickstart Surveillance Culture?
Biometric technologies use biological features such as fingerprints, veins, faces and irises to identify individuals. They greatly improve the accuracy and reliability of identification and verification systems by taking out the element of human error. In the area of public safety, biometric technologies in the form of fingerprinting, iris and facial recognition have made a significant contribution to border control and law enforcement. Brought to you by NEC. To find out more, do visit http://www.nec.com/safety
10 Criminology in the FutureCriminology in the FutureKristop.docxhyacinthshackley2629
10 Criminology in the Future
Criminology in the Future
Kristopher Freitag, Javielle Watson, Michael Westphal, Starcia Zeigler
CJA/314
April 7, 2014
Judy Mazzucca
Technology is advancing in every aspect of the criminal justice system, from the investigation to the prosecution of the crimes. Crime fighting methodologies have the potential to greatly assist law enforcement in the war on crime. Some experts even think that some software and tools will be able to help prevent crime. (Yeung, n.d.). Methodologies, such as mandating DNA collection programs, biometrics, and implementing cybercrime spyware programs are on the list of the next big things of the future, when it comes to fighting crime. DNA testing helps law enforcement investigate and prosecute crimes, as well as clear the names of those who have been wrongfully convicted. There are currently about twenty states with laws requiring DNA collection at the time of the person’s arrest. The federal government also has this requirement. As, with any controversial subject, DNA testing has its critics. Some are saying that DNA testing is in violation of the Fourth Amendment, especially for those who have not been convicted of a crime. Others are concerned that DNA testing may open the doors for abuse of the genetic information being stored in the databases. (Berson, n.d.). Biometrics are automated methods of recognizing a person based on physiological or behavioral characteristics. Some of the features measured using biometrics are handwriting, voice, iris, hand geometry, vein, retinal, and fingerprints. Biometric based solutions provide personal data privacy, and confidential financial transactions, and are starting to become the foundation of an extensive array of highly secure identification and personal verification solutions. The need for highly secure identification and personal verification technologies is great, due to the increased number of transaction fraud and security breaches. This need is especially great in the areas of local, state, and federal governments. Infrastructures such as electronic banking, health and social services, law enforcement, and retail sales are already taking advantage of, and seeing the benefits of biometric technology. ("The Biometrics Consortium", n.d.).
As we become more and more dependent on technology, the increase of cybercrimes are skyrocketing, which has forced law enforcement to figure out ways of combatting cybercrimes. We have become extremely vulnerable to many cybercrimes, including social media fraud, which consists of cyber criminals using social media to steal the identities of unsuspecting people; and luring people to download malicious materials, or reveal their passwords; corporate security breaches, which consists of cyber criminals exploiting company employees via scams; and phishing, which involves cyber criminals targeting company employees by sending emails that appear to be from someone within the company. ("Homeland .
Pandemic and Security: Reengineering of Human Identification MediaJuan Moratto
Argentina, like other countries, determined that face mask are “of compulsory social use”, a logical measure from the health point of view that causes and will cause difficulties in security and law enforcement: all people transit with their hidden, masked face, day or night.
What implications does it have? Any criminal act will go unpunished unless police catch the perpetrator red-handed (flagrant). Outside of this, most crimes will go unpunished and criminals can move freely without risk.
Over the last decades, globalisation has led to a new class of global citizens. While the access to this global citizenship is still not spread evenly, many have enjoyed the freedom to move, work, and travel with no limits. However, this cosmopolitan globalisation rhetoric of a borderless world has been drastically slowed down by Covid-19. This pandemic has introduced a new level of uncertainty in global affairs and led many to question whether citizens will be able to continue enjoying the freedom of movement once the crisis is over. To share this article: https://apolitical.co/en/solution_article/will-covid-19-be-the-end-of-the-global-citizen To cite this article: Calzada, I. (2020), Will Covid-19 be the end of the global citizen? Apolitical. Retrieved from: https://apolitical.co/en/solution_article/will-covid-19-be-the-end-of-the-global-citizen DOI: 10.13140/RG.2.2.11942.27208/1.
2020521 Artificial Intelligence Wont Save Us From Coronavir.docxdomenicacullison
2020/5/21 Artificial Intelligence Won't Save Us From Coronavirus | WIRED
https://www.wired.com/story/artificial-intelligence-wont-save-us-from-coronavirus/ 1/6
ALEX ENGLER IDEAS 04.26.2020 08:00 AM
Artificial Intelligence Won't Save Us From
Coronavirus
The hype is real, but the potential is not: Approach claims around AI and
Covid-19 with skepticism.
Fever detection is a plausible use case of AI, but it will take far more time, effort, and money to build systems that are robust enough
to trust. PHOTOGRAPH: ELIJAH NOUVELAGE/BLOOMBERG/GETTY IMAGES
https://www.wired.com/contributor/alex-engler
https://www.wired.com/category/ideas
2020/5/21 Artificial Intelligence Won't Save Us From Coronavirus | WIRED
https://www.wired.com/story/artificial-intelligence-wont-save-us-from-coronavirus/ 2/6
ARTIFICIAL INTELLIGENCE IS here to save us from coronavirus. It spots new outbreaks,
identifies people with fevers, diagnoses cases, prioritizes the patients most in need, reads the
scientific literature, and is on its way to creating a cure.
If only.
WIRED OPINION
ABOUT
Alex Engler is a David M. Rubenstein Fellow at the Brookings Institution and an adjunct
professor and affiliated scholar at Georgetown University’s McCourt School of Public Policy.
As the world confronts the outbreak of coronavirus, many have lauded AI as our omniscient
secret weapon. Although corporate press releases and some media coverage sing its praises, AI
will play only a marginal role in our fight against Covid-19. While there are undoubtedly ways
in which it will be helpful—and even more so in future pandemics—at the current moment,
technologies like data reporting, telemedicine, and conventional diagnostic tools are far more
impactful. So how can you avoid falling for the AI hype? In a recent Brookings Institution
report, I identified the necessary heuristics for a healthy skepticism of AI claims around Covid-
19.
Let’s start with the most important rule: always look to the subject matter experts. If they are
applying AI, fantastic! If not, be wary of AI applications from software companies that don’t
employ those experts. Data is always dependent on its context, which takes expertise to
understand. Does data from China apply to the United States? How long might exponential
growth continue? By how much will our interventions reduce transmission? All models, even
AI models, make assumptions about questions like these. If the modelers don’t understand
those assumptions, their models are more likely to be harmful than helpful.
Thankfully, in the case of Covid-19, epidemiologists know quite a bit about the context of the
data. Even though the virus is new and there is much to be learned, there is tremendous depth
https://brookingsinstitution-my.sharepoint.com/:w:/r/personal/aengler_brookings_edu/_layouts/15/Doc.aspx?sourcedoc=%7B88105CD7-4510-43F4-B708-64D18DFFA284%7D&file=OpEd-AISkepticism-COVID-19_KS1.docx&action=default&mobileredirect=true&cid=141bd.
2020521 Artificial Intelligence Wont Save Us From Coronavir.docxvickeryr87
2020/5/21 Artificial Intelligence Won't Save Us From Coronavirus | WIRED
https://www.wired.com/story/artificial-intelligence-wont-save-us-from-coronavirus/ 1/6
ALEX ENGLER IDEAS 04.26.2020 08:00 AM
Artificial Intelligence Won't Save Us From
Coronavirus
The hype is real, but the potential is not: Approach claims around AI and
Covid-19 with skepticism.
Fever detection is a plausible use case of AI, but it will take far more time, effort, and money to build systems that are robust enough
to trust. PHOTOGRAPH: ELIJAH NOUVELAGE/BLOOMBERG/GETTY IMAGES
https://www.wired.com/contributor/alex-engler
https://www.wired.com/category/ideas
2020/5/21 Artificial Intelligence Won't Save Us From Coronavirus | WIRED
https://www.wired.com/story/artificial-intelligence-wont-save-us-from-coronavirus/ 2/6
ARTIFICIAL INTELLIGENCE IS here to save us from coronavirus. It spots new outbreaks,
identifies people with fevers, diagnoses cases, prioritizes the patients most in need, reads the
scientific literature, and is on its way to creating a cure.
If only.
WIRED OPINION
ABOUT
Alex Engler is a David M. Rubenstein Fellow at the Brookings Institution and an adjunct
professor and affiliated scholar at Georgetown University’s McCourt School of Public Policy.
As the world confronts the outbreak of coronavirus, many have lauded AI as our omniscient
secret weapon. Although corporate press releases and some media coverage sing its praises, AI
will play only a marginal role in our fight against Covid-19. While there are undoubtedly ways
in which it will be helpful—and even more so in future pandemics—at the current moment,
technologies like data reporting, telemedicine, and conventional diagnostic tools are far more
impactful. So how can you avoid falling for the AI hype? In a recent Brookings Institution
report, I identified the necessary heuristics for a healthy skepticism of AI claims around Covid-
19.
Let’s start with the most important rule: always look to the subject matter experts. If they are
applying AI, fantastic! If not, be wary of AI applications from software companies that don’t
employ those experts. Data is always dependent on its context, which takes expertise to
understand. Does data from China apply to the United States? How long might exponential
growth continue? By how much will our interventions reduce transmission? All models, even
AI models, make assumptions about questions like these. If the modelers don’t understand
those assumptions, their models are more likely to be harmful than helpful.
Thankfully, in the case of Covid-19, epidemiologists know quite a bit about the context of the
data. Even though the virus is new and there is much to be learned, there is tremendous depth
https://brookingsinstitution-my.sharepoint.com/:w:/r/personal/aengler_brookings_edu/_layouts/15/Doc.aspx?sourcedoc=%7B88105CD7-4510-43F4-B708-64D18DFFA284%7D&file=OpEd-AISkepticism-COVID-19_KS1.docx&action=default&mobileredirect=true&cid=141bd.
Future of privacy - An initial perspective - Stephen Deadman, VodafoneFuture Agenda
An initial perspective on the future of privacy by Stephen Deadman, Group Privacy Officer at Vodafone. This is the starting point for the global future agenda discussions taking place through 2015 as part of the the futureagenda2.0 programme. www.futureagenda.org
With the rapid development of the Internet, a big data era chara.docxadolphoyonker
With the rapid development of the Internet, a big data era characterized by information explosion is coming. Public security relies on predictive policing to improve its work efficiency. Predictive policing based on large data analysis, it predicts which area of a city is most likely to occurs crimes and where criminals are most likely to be found. Privacy and civil rights must be seriously considered the problems of predictive policing, especially those who are predicted as offenders or victims. In the fiction short story “The Minority Report” by Philip K. Dick, describing Washington in 2054, the judicial system has been able to predict crime through psychological technology, system helps arrest the before he commits the crime. Dick shows his concern about predictive policing, which has been consistently developed; however, the main problem with predictive policing is its reliability. Although this is only a science fiction vision of the future, PredPol has made it a reality to some extent. Recently, the Los Angeles Police Department announced an expansion of the use of crime prediction software to speculate when and where crime is most likely to occur. Dick’s concern supports modern criticism of predictive policing and technology that crime prediction models are based on flawed statistics that reflect inherent prejudices in the criminal justice system.
Dick’s concern about predictive policing were that it is not accurate and contain lots of flaw. John Anderton, one of the elites of the pre-crime team, was accused of murdering a man he didn't know. In the process of his death and pursuit, Anderton learned that it was the three “PreCogs” who had the power to decide whether a person's guilt was ultimately established. If two of them are found guilty and the other disagrees, the last one is in the minority, whose opinion is called Minority Report. In story, Anderton states, "If the system can survive only by imprisoning innocent people, then it deserves to be destroyed. My personal safety is important because I'm a human being. And furthermore-"(Anderton, 114) By using the word “innocent,” Dick shows the potential unreliability of the predict technology. After reconsidered the meaning of pre-crime system, Anderton realized that what he has believed was successful is all built on the suffering of the people and threatening their lives. Dick emphasizes that the predictive technology should seek a balance between protecting individual privacy and safety. This action makes the argument of whether the society should trust the predictive policing system. In the end, Anderton did not kill the person who appeared in the Precogs’ prediction. However, the matter is that it's not possible to penalize someone before he commits a criminal offense simply because he's judged to own a motive.
The not accuracy and flaws contain in predictive policing that Dick’s concern has still value in the modern society… (missing second part of the prompt which is Analyze.
Evolution of Bias in Artificial Intelligence and Solution the big problemAbdulla Hisham
Humans developed Machines. Humans have 150+ bias and hence now Machines are biased too !
It talks about, Evolution of Bias in AI and solution to the big problem.
9 Trends in Identity Verification (2023) by RegulaRegula
Regula held an internal panel discussion and compiled nine expert opinion-based identity verification trends to watch and leverage in 2023. You can find the full text in our blog: https://regulaforensics.com/blog/identity-verification-trends-2023/
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https://alandix.com/academic/papers/synergy2024-epistemic/
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2. Even as it depresses economies across the world, the
coronavirus pandemic has sparked a new period of growth
and development for facial recognition technology. Creators
pitch their tools as a means to identify sick individuals
without risking close-contact investigation.
3. The marketing pitch is
tempting in these anxious,
fearful times. But in practice,
using facial recognition to
track the coronavirus can be
downright terrifying. Take
Russia as an example -
- according to reports from
BBC, city officials in Moscow
have begun leveraging the
city’s massive network of
cameras to keep track of
residents during the
pandemic lockdown.
4. In desperate times like these, the knee-jerk suspicion that we
typically hold towards invasive technology wavers. We think
that maybe, just this once, it might be okay to accept facial
recognition surveillance -- provided, of course, that we can
slam the door on it when the world returns to normal. But can
we? Once we open Pandora’s box, can we force it shut again?
5. In January, an exposé published by the
New York Times revealed that a startup
called Clearview AI had quietly developed
a facial recognition app capable of
matching unknown subjects to their
online images and profiles -- and
promptly peddled it to over 600 law
enforcement agencies without any public
scrutiny or oversight. Clearview stands as
a precursor, a budding example of what
surveillance culture in America could look
like, if left unregulated.
6. If facial recognition technology will
lead to a surveillance-state
dystopia, shouldn’t we at least try
to slow its forward momentum?
Shouldn’t we at least consider the
dangers that a dystopia might pose
-- especially during times like these,
when privacy-eroding technology
feels like a viable weapon against a
global pandemic?
7. It is worth noting that dozens of police departments across
the country already use products with facial recognition
capabilities. One report on the United States’ facial
recognition market found that the industry is expected to
grow from $3.2 billion in 2019 to $7.0 billion by 2024. The
Washington Post further reports that the FBI alone
has conducted over 390,000 facial-recognition searches
across federal and local databases since 2011.
8. Unlike DNA evidence, facial recognition technology is usually
relatively cheap and quick to use, lending itself easily to
everyday use. It stands to reason that if better technology is
made available, usage by public agencies will become even
more commonplace. We need to keep this slippery slope in
mind. During a pandemic, we might welcome tools that allow
us to track and slow the spread of disease and overlook the
dangerous precedent they set in the long-term.
9. Given all of this, it seems that we should, at the very least,
avoid panic-prompted decisions to allow facial recognition
-- and instead, consider what we can do to avoid the
slippery slope that facial recognition technology poses.
10. Moreover, facial recognition software is notorious for
its inaccuracy. One new federal study found that
people of color, women, older subjects, and children
faced higher misidentification rates than white men.
11. “One false match can lead to missed flights,
lengthy interrogations, tense police
encounters, false arrests, or worse,” Jay
Stanley, a senior policy analyst at the
American Civil Liberties Union (ACLU), told
the Washington Post. “But the technology’s
flaws are only one concern. Face recognition
technology — accurate or not — can enable
undetectable, persistent, and suspicionless
surveillance on an unprecedented scale.”
12. The proliferation of facial recognition
technology is inevitable. But that doesn’t
mean that we should give up on bans
and protective measures. Instead, we
should pursue them further and slow
the momentum as much as we can -- if
only to give ourselves time to establish
regulations, rules, and protections.
13. We can’t give in to short-term
thinking; we can’t start down the
slippery slope towards surveillance
culture without considering the
potential consequences.
Otherwise, we may well find that
the “cure” that facial recognition
promises is, in the long term, far
worse than any short-term panic.
14. Click here to read this article by
www.bennatberger.net
Bennat Berger on Hackernoon.com