In less than 50 years, Artificial Intelligence (AI) will match humans on traits like adaptability, creativity and emotional intelligence, an expert has predicted.
Speaking at the “Festival of Dangerous Ideas” at University of New South Wales in Sydney on Sunday, Professor Toby Walsh said AI will match human intelligence by 2062.
“Toby Walsh, Scientia Professor of Artificial Intelligence at UNSW Sydney, has put a date on this looming reality.
“He considers 2062 the year that artificial intelligence will match human intelligence, although a fundamental shift has already occurred in the world as we know it,” the university said in a statement.
Walsh argued that we are already experiencing the risks of AI that seem to be so far in the future.
“Even without machines that are very smart, I’m starting to get a little bit nervous about where it’s going and the important choices we should be making”, said Walsh who has written a book “2062: The World that AI Made”.
The key challenge, according to him, will be to avoid the apocalyptic rhetoric of AI and to determine how to move forward in the new age of information.
Privacy concerns about the collection of personal data is nothing new.
Citing the Cambridge Analytica scandal, Walsh argues that we should be more sceptical about how data is misused by tech companies.
“A lot of the debate has focused on how personal information was stolen from people, and we should be rightly outraged by that,” Walsh told the audience.
“Many of us have smartwatches that are monitoring our vital signs; our blood pressure, our heartbeat, and if you look at the terms of service, you don’t own that data,” Walsh explained.
“You can lie about your digital preferences, but you can’t lie about your heartbeat,” he noted.
Russian researchers have revealed that artificial intelligence (AI) is able to infer people’s personality from ‘selfie’ photographs better than human raters do. The study, published in the journal Scientific Reports, revealed that personality predictions based on female faces appeared to be more reliable than those for male faces.
The technology can be used to find the ‘best matches’ in customer service, dating or online tutoring, the researchers from HSE University and Open University in Russia, said. Studies asking human raters to make personality judgments based on photographs have produced inconsistent results, suggesting that our judgments are too unreliable to be of any practical importance. According to the study, there are strong theoretical and evolutionary arguments to suggest that some information about personality characteristics, particularly, those essential for social communication, might be conveyed by the human face.
After all, face and behaviour are both shaped by genes and hormones, and social experiences resulting from one’s appearance may affect one’s personality development.
However, the recent evidence from neuroscience suggests that instead of looking at specific facial features, the human brain processes images of faces in a holistic manner.
For the findings, the researchers teamed up with a Russian-British business start-up BestFitMe to train a cascade of artificial neural networks to make reliable personality judgments based on photographs of human faces.
The performance of the resulting model was above that discovered in previous studies which used machine learning or human raters.
The artificial intelligence was able to make above-chance judgments about conscientiousness, neuroticism, extraversion, agreeableness, and openness based on ‘selfies’ the volunteers uploaded online.
The resulting personality judgments were consistent across different photographs of the same individuals.
The study was done in a sample of 12,000 volunteers who completed a self-report questionnaire measuring personality traits based on the “Big Five” model and uploaded a total of 31,000 ‘selfies’. The respondents were randomly split into a training and a test group.
A series of neural networks were used to preprocess the images to ensure consistent quality and characteristics and exclude faces with emotional expressions, as well as pictures of celebrities and cats.
Next, an image classification neural network was trained to decompose each image into 128 invariant features, followed by a multi-layer perceptron that used image invariants to predict personality traits.
In comparison with the meta-analytic estimates of correlations between self-reported and observer ratings of personality traits, the findings indicate that an artificial neural network relying on static facial images outperforms an average human rater who meets the target in person without prior acquaintance.
Conscientiousness emerged to be more easily recognizable than the other four traits. Personality predictions based on female faces appeared to be more reliable than those for male faces, the study said. (IANS)
It’s been over 6 months since the Coronavirus outbreak and the world is still fighting against it. Coronavirus Worldometer suggests a total of 4,907,135 cases so far, including cases that resulted in deaths and the ones recovered. This is not the first time that the world is going through a pandemic and crisis. Humans saw the Spanish Flu back in 1918, the spread of HIV in 1981, and the most recent one in 2009, H1N1 Swine flu. These pandemics killed millions of people across the globe, just like COVID-19
Since the onset of the year 2020, the world has faced terrible situations. The year began with Australia still on wildfires, a US drone strike on Iran which could’ve escalated to another World War in January, February saw a global stock market crash, in March COVID-19 had spread globally forcing nations to shut down, the global death toll from COVID-19 exceeds 200,000 in April and the world economy is expected to shrink 3%, which is the worst contraction since the 1930s Great Depression. With the onset of May, the global death toll exceeds 300,000 and the world faces a global mental health crisis because of isolation, fear, and economic crisis.
It’s not even been 6 months into this year and the world has already the worst of times. But the question is- who is responsible for all this? The answer is crystal clear. It is us, the human race.
The modern form of humans has existed on earth from 200,000 years. With time, humans have conquered the planet, excelled in the fields of science and technology, made impossible things possible, and developed a world with possibly the most luxurious facilities.
In the process of development, humans have caused irreparable damage to Earth and the environment which includes ecosystems, biodiversity, natural resources, etc.
Overconsumption and over-exploitation of resources, overpopulation of humans, global warming, pollution, deforestation, etc have caused damages that are irreversible now. We have exploited the planet to an extent where it’s impossible to rectify the damage we have caused.
Speaking about my personal opinion, this year seems to be a punishment to the human species for all the harm we have caused to nature and the environment since the day of our existence. We have hurt the nature, animals, birds, plants, and even our fellow human beings, and this devastating situation right now, feels like we’re repaying for it.
We have killed a countless number of animals and birds just to satisfy our hunger even when we can live without eating them, we have killed animals for the sake of wearing good clothes, we have killed animals just to pursue our hobby of hunting, we have cut down trees so that we can make paper and write ‘save trees’ on them, we have caused air pollution so that we don’t sweat, we have exploited natural resources like petroleum just for the sake of our laziness, we have destroyed forests for the purpose of making luxurious cities, we have damaged the water bodies because we can’t even throw garbage in a bin.
And we happen to be the ‘best creation of God’ and also the smartest species to ever exist on this planet.
Is the development and smartness of any use if the planet is no more able to sustain us? It feels like nature took everything in its hands and decided to punish us from all possible aspects and started to heal itself by confining us to our houses.
Nature has bounced back as we are locked inside our homes. The world has seen a significant positive change in the environment with many countries experiencing a fall in carbon dioxide and nitrogen oxide of as much as 40%. With the minimum use of cars on the road, it seems to be a piece of potential good news for the climate as oil happens to be the biggest source of carbon emissions. Not just this, but the flora and fauna have also received a big positive change.
The World and its people are suffering and facing the worst of times, but the planet earth seems to be relieved.
Google has launched a free training course in 17 languages to teach journalists around the world what impact can Artificial Intelligence (AI) and Machine Learning (ML) have on their profession.
In a global survey conducted by Google last year about the use of AI by news organizations, most respondents highlighted the urgent need to educate and train their newsroom on the potential offered by machine learning and other AI-powered technologies.
“Improving AI literacy was seen as vital to change culture and improve understanding of new tools and systems,” said Mattia Peretti, who manages the programme called JournalismAI.
The new training course is produced by JournalismAI in collaboration with VRT News and the Google News Initiative (GNI).
They realized that more the newsroom at large embraces the technology and generates the ideas and expertise for AI projects, the better the outcome.
“This Introduction to Machine Learning is built by journalists, for journalists, and it will help answer questions such as: What is machine learning? How do you train a machine learning model? What can journalists and news organizations do with it and why is it important to use it responsibly?” said Google.
The course is available in 17 different languages on the Google News Initiative Training Centre.
By logging in, you can track your progress and get a certificate when you complete the course.
The training centre also has a variety of other courses to help journalists find, verify and tell news stories online.
It’s a tough time for journalists and news organisations worldwide, as they try to assess the impact that COVID-19 will have on the business and editorial side of the industry.
“With JournalismAI, we want to play our role in helping to minimize costs and enhance opportunities for the industry through these new technologies,” said Google.
At the end of the course, the users will find a list of recommended resources, produced by journalism and technology experts across the world, that have been instrumental in designing Introduction to Machine Learning.
“After this course, and the previous training module with strategic suggestions on AI adoption, we are planning to design more training resources on Artificial Intelligence and machine learning for journalists later this year,” said Peretti. (IANS)