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Responsible AI solutions can play a key role in advancing the United Nations Sustainable Development Goals (SDGs) in several ways.

Concerns about the misuse of AI are increasing. AI governance provides a framework for responsible development and deployment. CEOs play a crucial role in AI governance. This field is rapidly evolving, driven by various stakeholders. This article provides guidance for business leaders to address the complex issues in AI governance.

EU AI Act, "AI Systems" and ChatGPT Custom Conversations

This article will take you through the 10 most important trends in Artificial Intelligence in 2024.

Minimizing Risks and Reputation: AI bias and unfair practices can lead to costly consequences such as lawsuits, loss of trust, and reputational damage. To avoid this, organizations must prioritize data privacy, develop fair models, and continuously monitor potential biases.

Key Issues: Data privacy, fairness, explainability, transparency, and bias. Practical Concerns: Unforeseen consequences due to poor data practices and biased datasets. Emerging Solutions: Guidance from leading research and data science communities to address ethical concerns in AI.

Why is Explainable AI Important? Explainable AI helps humans interpret machine learning, deep learning, and neural networks (often regarded as "black boxes"). Here are the reasons why it is important: Trends: AI models trained on biased data can perpetuate discrimination.

Data management is a broader concept than data governance. It encompasses the entire process of collecting, processing, securing, and storing data to make strategic decisions. While data governance is included within this larger scope, data management also relates to other important areas such as data processing, storage, and security.

In 2023, artificial intelligence has seen peak advancements, creating a new landscape and marking the year as a breakthrough for generative AI.

Humane-AI is excited to announce the launch of a new blog by esteemed advisor Dr. Nga, titled “Bringing Generative AI to Life.” This blog dives into the fascinating world of generative AI research and translates complex ideas into practical applications readily implementable by AI practitioners.

The European Union (EU) is an economic and political union comprising 27 member states located in Europe. The EU was established in 1993 with the aim of promoting economic and political cooperation among its member states.

The United Kingdom, comprising England, Scotland, Wales, and Northern Ireland, is a developed nation renowned for its historical significance and modern influence in global politics, culture, and economics. The UK has a constitutional monarchy with a parliamentary system.

Exploring the significant transformation in education due to the unique and powerful impact of artificial intelligence is genuinely altering how we learn today. At the core of AI is learning, similar to large language models. Education offers tremendous potential for AI while raising important questions about the future of education. The impact of AI on traditional skills and the role of humans is unclear. Overcoming fears about AI, creating AI jobs, and implementing AI responsibly all require further learning.

What is AI Governance? Overview What is AI Governance? Frameworks, rules, and standards for safe, fair, and ethical AI. Addressing risks such as bias, privacy, and abuse while encouraging innovation. Why is it important? Human errors in creating AI can lead to bias, mistakes, and harmful outcomes. Governance mitigates risks through oversight, assessment, and updates. Key components of AI governance:

In today's dynamic business landscape, the adoption of Ethical AI Standards and the implementation of responsible policies are crucial in fostering innovation and ensuring the ethical development and deployment of AI-driven goods and services. By establishing clear guidelines and principles, organizations can navigate the complex landscape of AI technologies while upholding moral and ethical considerations. This approach promotes responsible innovation, safeguards human rights, and builds trust among stakeholders. Embracing Ethical AI Standards not only mitigates potential risks and legal liabilities but also creates a favorable environment for businesses to thrive, driving economic growth and societal progress.

We are delighted to announce that Ms. Tran Vu Ha Minh will be participating as a speaker at the prestigious RMIT Vietnam Digital3 (D3) Conference in HCMC. The event, centered around the theme "Designing Digital Economies - Pathways for Emerging Markets Development," serves as a platform for academic discourse on the transformative impact of digital technologies.

The 2nd Global Forum on the Ethics of ArtificiaI Intelligence (AI) 2024, hosted by the Government of Slovenia, co-funded by Europe Union, is set to take place in Slovenia on 5 and 6 February 2024.

The European Union (EU) is an economic and political union consisting of 27 member states located in Europe. The EU was established in 1993 with the goal of promoting economic and political cooperation between its member states.

Hoa Kỳ (Hợp Chủng Quốc Hoa Kỳ) (tiếng Anh: United States of America (USA), thường được gọi tắt là Hoa Kỳ (United States) hoặc Mỹ (U.S. or US), là một nước cộng hòa liên bang gồm 50 tiểu bang. Quốc gia này đi đầu trong tiến bộ công nghệ trên thế giới, đặc biệt là trong lĩnh vực Trí tuệ Nhân tạo (AI). Là một quốc gia có nhiều tiềm lực về công nghệ và khoa học, Hoa Kỳ đầu tư đáng kể vào nghiên cứu và phát triển để ứng dụng và khai phá hết tiềm năng của công nghệ AI. Cam kết này được thể hiện rõ ràng ở cả các viện nghiên cứu và khu vực tư nhân, đóng vai trò then chốt trong việc định hình tương lai của công nghệ toàn cầu.