"Artificial Intelligence is no more in fiction stories now. Today in our daily life, we can observe AI performing different tasks." Even if it is a customer or business organization, machines are vigorously improving the intelligence of humans. The mobile app sector is growing day by day. After the covid hit the world, it has become the basic need of many companies.

Not a week passes without an ethical misstep by Big Tech. From Facebook's personal data overreaches to thousands of e-commerce sites that trick people into superfluous purchases to cities implementing facial-recognition systems without consent, the tech industry continues to stress-test trust. In response, ethical guidelines have flourished. Whether a short checklist, visual principles, or lengthy treatise, most agree on core principles of privacy, safety and security, transparency, fairness, and autonomy. But despite the efforts of think tanks, tech companies, and government agencies, the principles haven't been so easy to put into practice.

The University of Oxford has said it is to receive its biggest single direct donation "since the Renaissance", after it unveiled a £150m gift from the US billionaire Stephen Schwarzman to fund humanities research and tackle looming social issues linked to artificial intelligence. The money will be used to create the Schwarzman Centre for the Humanities, bringing together disciplines including English, philosophy, music and history in a single hub with performing spaces and a library, alongside a new Institute for Ethics in AI to collaborate. Unlike previous mega-donors, Schwarzman, the founder and chief executive of the Blackstone financial group, is not a former student. He says he was attracted to make the donation after being approached by Louise Richardson, Oxford's vice-chancellor, and by his memories of visiting as a teenager in 1963. "I visited Oxford as a 15-year-old on what we used to call'teen tours' in the US, where you travelled around Europe and hopefully became more civilised. I vividly remember going to Oxford because I'd never seen anything like it," Schwarzman said.

Right from old-fashioned matchmaking to modern dating services, romantic matchmakers have focused on what singles themselves desired when they assisted them in the hunt for their soulmate. In other words, there has been nothing decisively new under the sun for several hundred years. At the request of DR3, researchers at DTU Compute have developed a self-learning algorithm and sent it in search of the recipe for a good relationship. "The algorithm receives a huge amount of information about each individual person in each of the 667 relationships, for example about food and transport habits, childhood town, height, number of brothers and sisters, pets, consumption patterns, and much more--including things that are not normally regarded as relevant to our choice of partner. The algorithm then looks for a pattern in the relationship based on the information. In this way, the algorithm itself learns what the ingredients in a stable relationship are, and how they are to be mixed," explains the creator of the algorithm, Professor Jan Larsen from DTU Compute.