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Study: Only 18% of students are learning about AI ethics

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A recent study of 2,360 data science students, academics, and professionals by software firm Anaconda states that only 15% of institute and college professors said that they're teaching AI ethics, and just 18% of students specified that they're learning about the subject. We live in a world that is engulfed in data. This data is that which gives sustenance to Artificial Intelligence (AI). In the 21st century, AI has become an essential part of the technology industry. AI techniques have gone through a revival after simultaneous advances in computer power, data that were flooded in and its theoretical understanding.


Why Ethical AI Is Important to Your Business

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As AI begins to play a much larger role in our daily lives, informing healthcare decisions, making recommendations, helping us resolve customer service issues, talking with us as companion bots, making financial decisions, driving autonomous cars, and helping employees make more informed, faster decisions, it becomes more important that ethics and morality are built into AI applications. AI applications are making decisions that affect people's privacy, health, finances, jobs, criminal justice, safety, and overall happiness. Ethical AI is no longer an afterthought -- it must be built into the fabric of AI from this point forward. This article will look at the ways that ethics and diversity are being built into AI and the importance of doing so. To ensure that AI is ethical, it must be transparent and explainable.


Black Box Human Or Black Box AI? A Talk With Kim Larsen, Deutsche Telekom

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Will black box AI fly?Andy Kelly on Unsplash enhanced by CogWorld With current advances in technology and Artificial Intelligence, most major companies are going to great lengths to attract the right talent and showcase their expertise in the field. Today having a futurist among its top rank management is not an eccentric fad, but a competitive necessity. Google is well-known for its collaboration with Ray Kurzweil. While we all know about the AI conquests of IBM, Amazon and Google, less is being revealed about machine learning projects in the "traditional" industry of telecom operators. Coming from a telecommunications background, I thought the balance should be restored.


The Bias Is Real: 5 Experts on AI Bias in HR and How It Can Be Addressed

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Because AI learns from the data sets that it is given, there is always a risk of bias setting in. Bias in these data sets is likely to perpetuate the lack of diversity in global workplaces. In this article, we turn the spotlight on the issue of AI bias in HR, with exclusive insights shared by experts from ADP, AVTAR Group, Plum, Job.com, and HireVue. Your HCM System controls the trinity of talent acquisition, management and optimization - and ultimately, multiple mission-critical performance outcomes. Alongside the rise of artificial intelligence (AI) in different sectors, questions around the possibility of bias have also increased.


Why new EU rules around artificial intelligence are vital to the development of the sector

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European Union (EU) lawmakers have introduced new rules that will shape how companies use artificial intelligence (AI). The rules are the first of their kind to introduce regulation to the sector, and the EU's approach is unique in the world. In the US, tech firms are largely left to themselves, while in China, AI innovation is often government-led and used regularly to monitor citizens without too much hindrance from regulators. The EU bloc, however, is taking an approach that aims to maximise the potential of AI while maintaining privacy laws. There are new regulations around cases that are perceived as endangering people's safety or fundamental rights, such as AI-enabled behaviour manipulation techniques.