Aishe News

Artificial intelligence (AI) has revolutionized various aspects of our lives, from facial recognition to self-driving cars and autonomous trading systems like the remarkable Aishe system client. However, as AI continues to shape our world, it is crucial to navigate the complex realm of ethics. This involves addressing the ethical implications of AI's impact on society, including concerns related to bias, transparency, privacy, fairness, and the distribution of benefits. One major ethical concern in AI development is the potential for biased decision-making. Machine learning algorithms rely on vast amounts of data, and if this data is biased, the AI system can unintentionally perpetuate and amplify existing biases. To address this, developers must ensure that training data is diverse, representative, and free from discriminatory biases. Transparency is another critical aspect of ethical AI. As AI systems become more complex and autonomous, it is essential for users to understa...

AI in Employment: Opportunities and Legal Challenges In a recent study, it was found that 83% of large employers use artificial intelligence for some type of employee decision-making and it can be found in almost all aspects of employment: from hiring to firing. The technology is used to filter resumes, while chatbots answer applicant questions and schedule interviews. AI is used to monitor productivity and safety, and to predict the potential success of an applicant. AI in Employment: Law in Agreements in the Age of AI As this trend continues, new legal questions about liability for workplace discrimination are being presented to the courts. Keith Sonderling, Commissioner of the Equal Employment Opportunity Commission (EEOC), wrote in the University of Miami Law Review that "AI is only as good as those who 'feed the machine.'" "Addressing algorithmic bias may present a 'whack-a-mole' problem, where the new algorithm - revised to have less negative i...

The definition of AI system is a machine-based system designed to operate with varying levels of autonomy. These systems can generate output, such as predictions, recommendations, or decisions that can influence physical or virtual environments. This definition is a key element of the AI Act, which aims to regulate the use of AI in the European Union. Reference to the article The EU Parliament agreed to adopt the definition used by the Organisation for Economic Cooperation and Development (OECD). The definition states that   "Artificial intelligence system (AI system) means a machine-based system that is designed to operate with varying levels of autonomy and that can, for explicit or implicit objectives, generate output such as predictions, recommendations, or decisions influencing physical or virtual environments." The term " autonomy " refers to the system's ability to operate independently, with little or no human intervention. The level of auto...