Govt in process of shaping regulations on Artificial Intelligence: Official

Artificial intelligence (AI) represents a paradigm shift in the interconnectivity between humans and technology: a partnership that will allow us to perceive and process information on a new scale. We are still realizing the potential of AI, but it has already created a global change and given us extremely powerful tools. Already, it is improving every aspect of our lives—from health and finances to entertainment and environmental protection. Innovation in AI will boost GDP and raise the impact of the digital economy to 33% of GDP globally by 2030, but we must ensure it moves forward responsibly, developing the technology carefully and applying it in ways that improve lives.

Have you stopped to think about what happens when AI crosses the line between useful and ethical? I want to talk to you a little about the challenges in the development and application of this technology, and why we have to promote responsible ethical artificial intelligence. First, I’m going to tell you what it means to have responsible AI: it is about developing and using AI taking into account ethical and social values, as well as the impact on humans and the environment. This involves considering not only the effectiveness and efficiency of algorithms, but also their impact on people’s privacy, fairness, and security.

Govt in process of shaping regulations on Artificial Intelligence: Official

Avoid bias, take care of the data

One of the ethical challenges we must address is the bias that humans can transmit to algorithms. Imagine raising a baby who learns what you teach him. Well, this is how algorithms learn from historical data, which means they can reproduce things like racism, sexism, or discrimination. For example, algorithms used in recruiting may unintentionally discriminate against certain people if they are based on past data. This raises important ethical questions about fairness and justice in the use of AI and underlines the need to develop more transparent and equitable algorithms. One thing is very clear: AI will only be truly accessible to everyone when it is ethical and responsible. Precisely for this reason, I am convinced that we need more minorities, and among them, women, to enter the STEM world (science, technology, engineering, and mathematics, for its acronym in English). With this, we will ensure that gender biases disappear.

Another key ethical challenge is data privacy. AI often requires large amounts of information to train and improve its algorithms, raising concerns about the collection, storage, and use of personal data. Large technology companies are already developing platforms and solutions to achieve an efficient convergence between AI and security. I have been part of these conversations myself.

Unfiltered data collection can jeopardize privacy and increase the risk of mass surveillance and abuses of power. We must establish strong regulatory frameworks to protect data privacy and ensure that people have control over how their information is used. Now, who is responsible when an algorithm makes a mistake or makes a harmful decision? How can we ensure that AI systems are transparent and user-friendly? These are difficult questions that require continued discussions and collaboration between technology experts, policymakers, philosophers, and society as a whole.

How to help make AI more responsible?

Let’s talk about how to promote responsible artificial intelligence. First, we must engage the people involved in the development and implementation of AI, including marginalized groups and communities affected by its applications. Diversity of perspectives can help identify and address potential biases and ethical risks more effectively. AI is made up of a large pile of data that is not diverse enough today. That is why organizations like the Algorithmic Justice League have been born, which seek to make this problem visible and avoid racism, sexism, and other forms of discrimination in algorithms. Engineer Sapih Savage also recognizes that biased AI exists, but that this is also an opportunity to appropriate this technology and create our own, well infused with our culture and diversity.

AI technology must be developed and informed by diverse populations, perspectives, voices, and experiences. Additionally, we need to develop ethical standards and best practices for the design, development, and deployment of AI systems, including continuous evaluation throughout their life cycle and the incorporation of ethical principles in decision-making.

We need to engage with academic partners around the world to research privacy, security, human collaboration, trust in media, AI sustainability, explainability, and transparency. I even advocate for the formation of multidisciplinary advisory boards that review development activities in key areas, such as human rights, human oversight, explainable use of AI, security, safety and reliability, personal privacy, equity, and inclusion, as well as environmental Protection.

Artificial intelligence has the potential to transform our lives in exciting ways and help us solve global challenges, but it also raises ethical challenges that we must address proactively and responsibly. By doing this, we can ensure that AI benefits us all and respects fundamental ethical values. It is time to commit to building an ethical and sustainable digital future for every person in this world. It’s everyone’s job! AI must bring visibility, better experiences, transparency, privacy, and trust to every person on Earth.

By win11

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