How the board should understand and consider AI is, of course, highly dependent on the usage scenarios for AI within the organization. An organization might utilize AI purely as a decision-making support tool with the capability to better structure and analyze the available data. A more integrated approach could be to connect AI into the organization's operational processes. More advanced usage could be taking AI to customers as part of an existing product or offering. And its deepest role would emerge where an entire product is architected on top of AI capabilities.

Twitter is applying the bug bounty model to machine learning. The micro-blogging site has launched the industry's first algorithmic bias bounty competition. The challenge was created to identify potential harms in Twitter's notorious image cropping algorithm, which was largely abandoned after exhibiting gender- and race-based biases. Attend the tech festival of the year and get your super early bird ticket now! The company now wants to incentivize the community to find further unidentified risks of the algorithm.

For about six months last year, Nina Nørgaard met weekly for an hour with seven people to talk about sexism and violent language used to target women in social media. Nørgaard, a PhD candidate at IT University of Copenhagen, and her discussion group were taking part in an unusual effort to better identify misogyny online. Researchers paid the seven to examine thousands of Facebook, Reddit, and Twitter posts and decide whether they evidenced sexism, stereotypes, or harassment. Once a week, the researchers brought the group together, with Nørgaard as a mediator, to discuss the tough calls where they disagreed. Misogyny is a scourge that shapes how women are represented online.

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.

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.

New Delhi, July 31: Admitting that it is not easy to detect and remove accounts belonging to people under the age of 13, Facebook has said that it is looking at ways to convince people under age 13 to not lie about their age, including using the artificial intelligence (AI) technology. Facebook and Instagram weren't designed for people under the age of 13, so the company is now creating new ways to stop those who are underage from signing up. Google Team Uses AI To Create Next-Gen Chips Faster Than Humans. "We're developing AI to find and remove underaged accounts, and new solutions to verify people's ages. We're also building new experiences designed specifically for those under 13," said Pavni Diwanji, VP of Youth Products at Facebook.