ethical AI

Futuristic robot artificial intelligence concept.

Bridging the gap: innovations in AI safety and public understanding

The rise of artificial intelligence (AI) has brought immense opportunities and significant challenges. While AI promises to revolutionize various sectors, from healthcare to finance, the erosion of public trust in AI safety is becoming a critical concern.

This growing skepticism is fueled by factors such as a lack of transparency, ethical considerations, and high-profile failures. Addressing these issues cannot be overstated, as public trust is essential for the widespread acceptance and successful integration of AI technologies.

By Dev Nag -
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Microsoft brings Copilot to Telegram

Microsoft has brought its AI-powered Copilot chatbot to the Telegram messaging platform in beta. Designed to enhance user interaction, it leverages Microsoft's GPT models and Bing Search capabilities to provide a wide array of services. These include answering queries with quick facts, offering travel advice, updating sports scores, and giving movie recommendations. Users can interact with Copilot by typing natural language commands, similar to messaging a friend.

To access Copilot, Telegram users can either follow a direct link if they are already using the Telegram app or web platform, or search for @CopilotOfficialBot in Telegram's search bar. Currently in beta, Copilot is free for all users and is available across various operating systems including Windows, macOS, Android, and iOS, as well as via web browsers.

By Brian Fagioli -
Futuristic AI thinking of droid robot artificial intelligence concept

The unseen ethical considerations in AI practices: A guide for the CEO 

Artificial Intelligence (AI) is only accelerating its adoption among global corporate enterprises, thus CEOs and business leaders are positioned at the confluence of innovation and ethics, as it relates to implementing AI projects, in their businesses. 

While technical prowess and business potential are usually the focus of conversations around AI, the ethical considerations are sometimes overlooked, especially those not immediately obvious. From a perspective that straddles the line of business leadership and technical acumen, there are five critical, yet often missed, ethical considerations in AI practices that should be part of your due diligence in starting any AI projects: 

By Eric Huiza -
Artificial Intelligence

What Elon Musk's AI warning says about ethical AI in business

The report by Statista forecasts a significant 21 percent net increase in the United States' GDP by 2030, attributing this growth to the integration of Artificial Intelligence (AI). This projection underscores the immense impact AI is expected to have on economic expansion. However, amid this rapid advancement, tech innovator Elon Musk has expressed serious concerns about the need for AI regulation.

Speaking at the Paris VivaTech event, Musk highlighted the potential dangers of unregulated digital superintelligence. His warnings serve as a vital reminder for businesses to reevaluate their use and engagement with AI technologies, emphasizing the importance of a balanced approach to AI integration in the economic landscape.

By Srini Pagidyala -
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