With innovations and inventions becoming the pacesetter of development right across the world, IPR and IP analytics have come to the center stage of the innovation ecosystem. The IP database is growing day by day and many more countries, especially in Asia and America are emerging as the new nerve centers of technological revolution. Thus, data analysis and analytics pertaining to IPR have become more complex, vast, and unwieldy for manual operations. Fortunately, AI/ML-powered data mining and data analytics have taken over the area in recent years. Depending upon the dedicated research invested in this area, the efficacy and accuracy of the results vary from service provider to service provider.
The media ecosystem propagated by inhuman recommendation algorithms can easily be weaponized by bad faith actors, and there exist clear examples in which such tactics have been utilized for anti-democratic ends. In the 2016 United States presidential election, Russian operatives created fake social media accounts with the goal of exacerbating political polarization and increasing social discord. These accounts propagated provocative and misleading statements that intentionally targeted delicate subjects, specifically issues regarding race. Controversial and highly engaging content like this is exactly what the recommendation algorithms favor, and there is no doubt the technology helped circulate Russian disinformation, which ultimately affected the results of the election.
Twitter is offering a cash reward to users who can help it weed out bias in its photo-cropping algorithm. The social-media platform announced'bounties' as high as $3,500 as part of this week's DEF CON hacker convention in Las Vegas. 'Finding bias in machine learning models is difficult, and sometimes, companies find out about unintended ethical harms once they've already reached the public,' Rumman Chowdhury and Jutta Williams of Twitter's Machine-Learning, Ethics, Transparency and Accountability (META) project said in a blog post. 'We want to change that.' The challenge was inspired by how researchers and hackers often point out security vulnerabilities to companies, Chowdhury and Williams explained.
Advances in technology, robotics, genetic engineering, quantum computing will blur the boundaries ... [ ] between the digital, physical, and biological worlds, and usher in a whole new set of complex challenges for business leaders. Current smart technology has ushered in the Fourth Industrial Revolution, a new era integrating communications with automating industrial practices and traditional manufacturing. Through this improved communication, smart devices make human intervention unnecessary as machines communicate, self-diagnose and solve problems. While these new products and services may increase efficiency, analysts say they should be as ethical as possible, given their impact on our lives. Advances in AI, the internet of things (IoT), 3-D printing, robotics, genetic engineering, quantum computing will blur the boundaries between the digital, physical, and biological worlds, and with them usher in a whole new set of complex challenges for business leaders to negotiate.
Twitter Inc said on Friday it will launch a competition for computer researchers and hackers to identify biases in its image-cropping algorithm after a group of researchers previously found the algorithm tended to exclude Black people and men. The competition is part of a wider effort across the tech industry to ensure artificial intelligence technologies act ethically. The social networking company said in a blog post that the bounty competition was aimed at identifying potential harms of this algorithm beyond what we identified ourselves. "Following criticism last year about image previews in posts excluding Black people's faces, the company said in May a study by three of its machine learning researchers found an 8% difference from demographic parity in favour of women and a 4% favour toward white individuals. Twitter released publicly the computer code that decides how images are cropped in the Twitter feed, and said on Friday participants are asked to find how the algorithm could cause harm, such as stereotyping or denigrating any group of people.
Recent Harvard Business Review says Chief Marketing Officers are increasingly embracing the technology: An August 2019 survey by the American Marketing Association revealed that implementation of Artificial Intelligence (AI) had jumped 27% in the previous year and half. And 2020 Deloitte global survey of early AI adopters showed that three of the top five (3/5) AI objectives were marketing oriented: enhancing existing products and services, creating new products and services, and enhancing relationships with customers. Artificial Intelligence (AI) is a category of technologies and field of study that has been around for decades yet has only recently been feasible to implement. Despite its relative infancy in the market, applications of AI already boast impressive efficacy across industries, particularly in marketing. Recent advancements in AI technology and growing numbers of use cases demonstrating its effectiveness have garnered excitement amongst marketers.
SAN FRANCISCO, CA - SEPTEMBER 07: Google AI Research Scientist Timnit Gebru speaks onstage during ... [ ] Day 3 of TechCrunch Disrupt SF 2018 at Moscone Center on September 7, 2018 in San Francisco, California. 'Taking On Tech is an informative series that explores artificial intelligence, data science, algorithms, and mass censorship. In this inaugural report, For(bes) The Culture kicks things off with Dr. Timnit Gebru, a former researcher and co-lead of Google's Ethical AI team. When Gebru was forced out of Google after refusing to retract a research paper that was already cleared by Google's internal review process, a conversation about the tech industry's inherent diversity problem resurfaced. The paper raised concerns on algorithmic bias in machine learning and the latent perils that AI presents for marginalized communities. Around 1,500 Google employees signed a letter in protest, calling for accountability and answers over her unethical firing.
Twenty years ago, when photorealistic games were still just a faraway dream, companies like Square sent our imaginations soaring before we played, with big-budget intros and cutscenes. Long before Overwatch normalized the practice of releasing Pixar-quality animated shorts for each new character, Blizzard's Diablo II and Capcom's Onimusha 3 put us in the demon slaying mood with incredible mini-movies stretching to six minutes each. But if you dare try watching these classics on a modern 4K TV or even a 1080p monitor, they'll look like a pixelated mess. That's where a YouTube channel named Upscale and machine learning comes in -- making them look nearly as good as they did on your old CRT. It just depends how well the game's art style works with the AI algorithms bringing it back to life.