Google AI no longer to use Gender Labels to Tag Photos – Disposable mail news


Google’s Cloud Vision API is a Google Artificial Intelligence (AI) tool that recognizes an image and what’s in it and labels it, will no longer use gender labels like “man” and “woman”, instead it will label it as ‘Person.’
Google Cloud Vision API is a tool through which developers can attach labels to photos and identify the content.
In an email sent to users on Thursday, Google instructed that they will not use ‘woman’ or ‘man’ as physical appearance can not determine gender, the change has been done to avoid bias.

“Given that a person’s gender cannot be inferred by appearance,” reads the email, “we have decided to remove these labels to align with the Artificial Intelligence Principles at Google, specifically Principle #2: Avoid creating or reinforcing unfair bias.”
The bias that Google talks about is a result of “flawed training data,” a much-discussed topic. A flaw that results in AI algorithm making assumptions- that is anyone who doesn’t fit the algorithm of ‘man’ or ‘woman’ and will be misgendered. By labeling them as ‘person,’ Google attempts to avoid this mistake.

Frederike Kaltheuner, a tech policy fellow at Mozilla, said to Business Insider, “Anytime you automatically classify people, whether that’s their gender or their sexual orientation, you need to decide on which categories you use in the first place — and this comes with lots of assumptions.
“Classifying people as male or female assumes that gender is binary. Anyone who doesn’t fit it will automatically be misclassified and misgendered. So this is about more than just bias — a person’s gender cannot be inferred by appearance. Any AI system that tried to do that will inevitably misgender people.”

Google notes this bias in its API and AI(artificial intelligence) algorithm and seeking to change this flaw: “We will seek to avoid unjust impacts on people, particularly those related to sensitive characteristics such as race, ethnicity, gender, nationality, income, sexual orientation, ability, and political or religious belief.”
Any more news regarding the Tag feature is yet to be heard from Google.


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A Drug Molecule “Invented” By Artificial Intelligence (AI) To Be – Disposable mail news

Created by British start-up Exscientia and Japanese pharmaceutical firm Sumitomo Dainippon Pharma a drug molecule “artificial” by artificial intelligence (AI) will be utilized in human trails in a world-first for machine learning in the field of medicine.

Especially to be put to the use of treating patients who have obsessive-compulsive disorder (OCD), Exscienta CEO Prof Andrew Hopkins even describes it as a “key milestone in drug discovery”.

The molecule- known as DSP-1181 – was made by utilizing algorithms that filtered through potential compounds, checking them against an enormous database of parameters. Normally, drug development takes around five years to finally ‘get to trail’, but surprisingly enough the AI drug took only a year.

Hopkins told the BBC: “We have seen AI for diagnosing patients and for analyzing patient data and scans, but this is the direct use of AI in the creation of new medicine. There are billions of decisions needed to find the right molecules and it is a huge decision to precise engineer a drug, but the beauty of the algorithm is that they are agnostic, so can be applied to any disease,”

The first drug will enter stage one trails in Japan which, if effective, will be then followed by more tests globally.

The firm is now dealing with potential medications for the treatment of cancer and cardiovascular disease and would like to have another molecule prepared for clinical trials before the year’s end.

“This year was the first to have an AI-designed drug but by the end of the decade all new drugs could potentially be created by AI,” said Prof Hopkins.

Paul Workman, chief executive of The Institute of Cancer Research, who was not involved in the research, said of the breakthrough: “I think AI has huge potential to enhance and accelerate drug discovery.

And later adds, “I’m excited to see what I believe is the first example of a new drug now entering human clinical trials that were created by scientists using AI in a major way to guide and speed up discovery.”


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A Drug Molecule “Invented” By Artificial Intelligence (AI) To Be Used In Human Trials – Disposable mail news

Created by British start-up Exscientia and Japanese pharmaceutical firm Sumitomo Dainippon Pharma a drug molecule “artificial” by artificial intelligence (AI) will be utilized in human trails in a world-first for machine learning in the field of medicine.

Especially to be put to the use of treating patients who have obsessive-compulsive disorder (OCD), Exscienta CEO Prof Andrew Hopkins even describes it as a “key milestone in drug discovery”.

The molecule- known as DSP-1181 – was made by utilizing algorithms that filtered through potential compounds, checking them against an enormous database of parameters. Normally, drug development takes around five years to finally ‘get to trail’, but surprisingly enough the AI drug took only a year.

Hopkins told the BBC: “We have seen AI for diagnosing patients and for analyzing patient data and scans, but this is the direct use of AI in the creation of new medicine. There are billions of decisions needed to find the right molecules and it is a huge decision to precise engineer a drug, but the beauty of the algorithm is that they are agnostic, so can be applied to any disease,”

The first drug will enter stage one trails in Japan which, if effective, will be then followed by more tests globally.

The firm is now dealing with potential medications for the treatment of cancer and cardiovascular disease and would like to have another molecule prepared for clinical trials before the year’s end.

 “This year was the first to have an AI-designed drug but by the end of the decade all new drugs could potentially be created by AI,” said Prof Hopkins.

Paul Workman, chief executive of The Institute of Cancer Research, who was not involved in the research, said of the breakthrough: “I think AI has huge potential to enhance and accelerate drug discovery.

And later adds, “I’m excited to see what I believe is the first example of a new drug now entering human clinical trials that were created by scientists using AI in a major way to guide and speed up discovery.”


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Researchers And Army Join Hands to Protect the Military’s AI Systems – Disposable mail news

As an initiative to provide protection to the military’s artificial intelligence systems from cyber-attacks, researchers from Delhi University and the Army have joined hands, as per a recent Army news release. 

As the Army increasingly utilizes AI frameworks to identify dangers, the Army Research Office is investing in more security. This move was a very calculated one in fact as it drew reference from the NYU supported CSAW HackML competition in 2019 where one of the many major goals was to develop such a software that would prevent cyber attackers from hacking into the facial and object recognition software the military uses to further train its AI.

MaryAnne Fields, program manager for the ARO’s intelligent systems, said in a statement, “Object recognition is a key component of future intelligent systems, and the Army must safeguard these systems from cyber-attack. This work will lay the foundations for recognizing and mitigating backdoor attacks in which the data used to train the object recognition system is subtly altered to give incorrect answers.”

This image demonstrates how an object, like the hat in this series of photos, can be used by a hacker to corrupt data training an AI system in facial and object recognition.

The news release clearly laid accentuation on a very few important facts like, “The hackers could create a trigger, like a hat or flower, to corrupt images being used to train the AI system and the system would then learn incorrect labels and create models that make the wrong predictions of what an image contains.” 


The winners of the HackML competition, Duke University researchers Yukan Yang and Ximing Qiao, created a program that can ‘flag and discover potential triggers’. And later added in a news release, “To identify a backdoor trigger, you must essentially find out three unknown variables: which class the trigger was injected into, where the attacker placed the trigger and what the trigger looks like,” 

And now the Army will only require a program that can ‘neutralize the trigger’, however, Qiao said it ought to be “simple:” they’ll just need to retrain the AI model to ignore it. 

And lastly, the software’s advancement is said to have been financed by a Short-Term Innovative Research that grants researchers up to $60,000 for their nine months of work.


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European Union likely to ban Facial Recognition for 5 years – Disposable mail news


The EU (Europian Union) is considering restricting the use of facial recognition technology for a possible duration of 5 years, in public area sectors. The reason being is the regulators need some time to consider the protection of unethical exploitation of the technique.

The facial recognition is a technique that lets to identify faces that are captured on camera footage to be crosschecked against real-time watchlists, mostly collected by the police.

However, the restrictions for the use are not absolute as the technique can still be used for research and development, and safety purposes.

The committee formulating the restriction drafted an 18-page document, which implicates the protection of privacy and security of an individual from the abuse of the facial recognition technique. The new rules are likely to strengthen the security measures further against the exploitation. The EU suggested forcing responsibilities on either party, the developers, and the users of AI (artificial intelligence) and requested member countries of the EU to build an administration to observe the recent laws.

Throughout the ban duration that is 3-5 years, “a solid measure for evaluating the repercussions of facial recognition and plausible security check means can be discovered and applied.”

The recommendations appear among requests from lawmakers and activists in the United Kingdom to prevent the police from unethical abuse of the AI technique that uses live facial recognition technology for purposes of monitoring the public.
Not too late, the Kings Cross estate got into trouble after a revelation that its owners were using facial recognition without the public knowing about it.

The politicians allege that facial recognition is fallacious, interfering, and violates the basic human right of privacy.
According to a recent study, the algorithms that facial recognition uses are not only incorrect but are also flawed in identifying the black and Asian faces in comparison to those of the whites.

How Facial Recognition works?

  • The faces stored in a police photo database are mapped using the software.
  • CCTV present at public places identifies the faces. 
  • Possible matches are compared and then sent to the police. 
  • However, pictures of inaccurate matches are stored for weeks.


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