When Katica Roy returned to work after the birth of her daughter, her supervisor asked her to take on two new teams, tripling her workload in a matter of two weeks without additional pay or a promotion. Meanwhile, management asked a male colleague to take on one extra team. With his new responsibilities came a promotion and more pay. In order to get the pay equity due her, Roy notified her human resources team about the Lilly Ledbetter Act, a federal law that helps pay practices are non-discriminatory and fair, without gender or other bias, by making it easier to file equal-pay lawsuits. While she ended up succeeding in her gender bias protest, the process led Roy to found and become CEO of Pipeline Equity, a SaaS vendor that uses cloud-based AI, machine learning and natural language processing (NLP) technology to improve the financial performance of its users by trying to close the gender equity gap.

Humans are working artificial intelligence programs (AI) into business, government and daily life. Like with any new tool or technology, we start to see the initial technology flaws the more we are exposed to it. So we are now in the midst of a moment where AI is under the microscope, with policy makers picking apart AI contributions and demanding that AI meet high standards of performance and social consequence. This is a healthy process. Society should always examine impactful tools and push for the tools to work better.

Activision Blizzard made over $2 billion in revenue within three months, it said in a November earnings call. The company has recently been under fire on several fronts however, initially stemming from a gender discrimination and harassment lawsuit filed by California's Department of Fair Employment and Housing. Its CEO, Bobby Kotick, was the subject of a recent Wall Street Journal report that stated he knew about sexual misconduct claims at the video game company but failed to inform its board of directors.

The UK government's Centre for Data Ethics and Innovation (CDEI) has published a "roadmap" designed to create an AI assurance industry to support the introduction of automated analysis, decision making, and processes. The move is one of several government initiatives planned to help shape local development and use of AI – an industry that attracted £2.5bn investment in 2019 – but it raises as many questions as it answers. Part of the Department for Digital, Culture, Media & Sport (DCMS), the CDEI said by "verifying that AI systems are effective, trustworthy and compliant, AI assurance services will drive a step-change in adoption, enabling the UK to realise the full potential of AI and develop a competitive edge." Launching the move, DCMS minister Chris Philp said: "The roadmap sets out the steps needed to grow a mature, world-class AI assurance industry. AI assurance services will become a key part of the toolkit available to ensure effective, pro-innovation governance of AI." How that governance will take shape is, as yet, a bit fuzzy while the industry waits on proposals for AI legislation in the forthcoming White Paper on governance and regulation.

Throughout history, women have faced discrimination. This Inequality has been a long-present social evil. Whether it be voting rights or access to equal healthcare women have stood up against social evils whenever they see this inequality creeping in. But what if they are unaware that discrimination of some form is happening to them how will that be rectified. This is the problem that today's closed guarded black box AI algorithms pose towards society.

Analysts have built an artificial intelligence or AI technology that can naturally learn and adjust to dodge internet censorship, a development that might open up hindered online substance for a huge number of individuals living in India and China. The scientists, including those from the University of Maryland (UMD) in the US, tried the AI technology in China, India, and Kazakhstan, and observed many ways of conquering oversight by taking advantage of gaps in rationale utilized by controls and finding bugs that are hard for people to find physically. The specialists said they intend to present the AI technology called Geneva – – short for Genetic Evasion – – during a friend looked into talk at the Association for Computing Machinery's 26th Conference on Computer and Communications Security in the UK. Geneva addresses the initial move toward a totally different weapons contest in which artificial intelligence frameworks of controls and dodgers contend with each other. At last, dominating this race implies carrying free discourse and open correspondence to a large number of clients all over the planet who as of now don't have them.

The Council of Europe is taking part in the third edition (online) of the "Athens Roundtable on Artificial Intelligence and the Rule of Law" on 6 and 7 December. Organised by the Future Society and ELONTech under the Patronage of the President of the Hellenic Republic, Katerina Sakellaropoulou, the event is co-hosted by UNESCO, the Council of Europe, the European Parliament's Panel on the Future of Science and Technology (STOA), IEEE SA, the Center on Civil Justice at the NYU School of Law and the National Judicial College, among other institutions. It will also address important issues at the intersection of AI, industry, government and law, including civil liability regimes, regulatory compliance, privacy and consumer protection, and judicial capacity building. Council of Europe Secretary General Marija Pejčinović Burić is speaking at the opening. The Director of Information Society – Action against Crime, Jan Kleijssen, is taking part in the panel "EU AI Act and Beyond: Regulatory Perspectives from Europe and the United States" and the Head of the Information Society Department, Patrick Penninckx in the panel on "AI and Human Rights".

In 2015, it was found out that the algorithm used for hiring employees for Amazon was biased. It was trained on the number of resumes submitted over the past ten years, and due to the existing gender gap in the industry, as the number of male candidates was higher than female candidates, the algorithm also favored males. In a similar case in the UK, a gymnasium wrongly assumed that a woman was a man, just because she was a doctor. The algorithm used titles of the members to allot a fitting room. The algorithm had accidentally learned that the title of Doctor is given to men, which resulted in this error.

Fox News Flash top entertainment and celebrity headlines are here. Check out what clicked this week in entertainment. It appears Josh Duggar's child pornography trial is coming to a close. The defense rested Tuesday in the Arkansas federal trial of the former reality TV star after a prosecutor sharply questioned a computer expert during the state's cross-examination. Duggar, 33, is charged with receiving and possessing child pornography and faces up to 20 years in prison on each count if convicted.

Artificial intelligence and machine learning have the potential to contribute to the resolution of some of the most intractable problems of our time. Examples include climate change and pandemics. But they have the capacity to cause harm too. And they can, if not used properly, perpetuate historical injustices and structural inequalities. To mitigate against their potential harms, the world needs frameworks for the governance of data that are economically enabling and that preserve rights.