What is ethical artificial intelligence? Familiarity with ethics in artificial intelligence

Since artificial intelligence (AI) has become increasingly important to all countries these days, experts active in this field have identified the need to establish ethical boundaries when creating and implementing new AI tools. Although there is currently no large-scale governing body to write and enforce these rules, many tech companies have adopted their own version of AI ethics. are Ethics in artificial intelligence are the ethical principles that companies use to guide the development and responsible and fair use of artificial intelligence. In this article from AI company Avir’s website, we’ll explore what ethical AI is and why it matters, and explore the challenges and benefits of creating an AI code of conduct.

?What is ethical artificial intelligence

AI ethics is a set of guiding principles that stakeholders (from engineers to government officials) use to ensure the responsible development and use of AI technology. This concept means adopting a safe, secure, humane and environmentally friendly approach to artificial intelligence.

A strong AI code of ethics can include avoiding bias, ensuring the privacy of users and their data, and mitigating environmental risks. Codes of ethics in companies and government-led regulatory frameworks are the two main methods for implementing ethical AI. Both approaches contribute to the regulation of AI technology by covering global and national ethical AI issues, and creating the policy context for ethical AI in enterprises.

More broadly, the development of the debate on ethical AI has originated from a focus on academic research and non-profit organizations. Today, big tech companies like IBM, Google, and Meta have formed teams to deal with the ethical issues that arise from the collection of massive amounts of data. At the same time, government and intergovernmental organizations have begun to develop ethical regulations and policies based on academic research.

Practitioners of ethical artificial intelligence

The development of ethical principles for the responsible use and development of artificial intelligence requires the cooperation of those involved in this industry. Stakeholders must explore how social, economic, and political issues intersect with AI and determine how machines and humans can harmoniously coexist.

Each of these stakeholders has an important role to play in ensuring less bias and risk for AI technologies.

Academics: Researchers and professors are responsible for developing statistics, research, and theory-based ideas that can support governments, corporations, and nonprofit organizations.

Governments: Agencies and committees within a government can help facilitate ethical AI in a country. A good example of government collaboration is the 2016 Preparedness for the Future of Artificial Intelligence report prepared by the US National Science and Technology Council (NSTC), which describes artificial intelligence and its relationship to public information, regulation, governance, economics, and security. he does.

Intergovernmental bodies: Bodies such as the United Nations and the World Bank are responsible for raising awareness and drafting agreements for ethical AI globally. For example, UNESCO’s 193 member states adopted the first global agreement on ethical artificial intelligence in November 2021 to promote human rights and dignity.

Nonprofits: Nonprofits like Black in AI and Queer in AI help diverse groups gain a presence in AI technology. Also, the Future of Life Institute created 23 guidelines, called the Asilomar AI Principles, that outline specific risks, challenges, and outcomes for AI technologies.

Private companies: Executives at Google, Meta, and other tech companies, as well as banking, consulting, healthcare, and other private-sector industries that use AI technology, are responsible for creating ethics teams and codes of conduct. These managers often set the standard for companies to follow.

Why is ethical AI important?

Ethical AI is important because AI technology is designed to augment or replace human intelligence—but when technology is designed to replicate human life, the same issues that can prompt human judgment can permeate the technology.

AI projects built on biased or inaccurate data can have dire consequences, especially for groups and individuals who lack adequate AI knowledge. Furthermore, if AI algorithms and machine learning models are built too hastily, correcting learned biases will be unmanageable for engineers and product managers. It is easier to incorporate a code of ethics during the development process to reduce future risks.

Ethical artificial intelligence in film and television

Science fiction—in books, movies, and television—has been toying with the concept of morality in artificial intelligence for some time. In the 2013 film Her Spike Jonze, a person falls in love with her computer because of its seductive sound. It’s fun to imagine the ways machines can affect human lives and push the boundaries of “love,” but it also highlights the need to think around these developing systems.

Examples of ethical artificial intelligence

Perhaps the easiest way to demonstrate ethical AI is with real examples. In December 2022, the Lensa AI app used artificial intelligence to generate interesting and cartoony profile pictures from ordinary people’s pictures. From an ethical point of view, some people criticized the artists who created the original digital art on which the AI ​​was trained for not having enough credit or money. According to the Washington Post, Lensa was trained on billions of photos taken from the Internet without consent.

Another example is the ChatGPT AI model that enables users to interact with it by asking questions. ChatGPT searches the Internet for data and responds with text, Python code, or a suggestion. An ethical dilemma is that people use ChatGPT to win coding contests or essay writing contests, which is not fair or ethical in a competition.

These are just two common examples of ethical AI. As AI has grown in recent years to affect almost every industry, with a huge positive impact on industries like healthcare, the issue of ethical AI has become even more prominent. How to ensure bias-free artificial intelligence? What can be done to reduce risks in the future? There are many potential solutions, but stakeholders must act responsibly and collaboratively to create positive outcomes worldwide.

Ethical challenges of artificial intelligence

There are many real-life challenges that can help demonstrate ethical AI. Here we will examine just a few of these challenges.

Artificial intelligence and prejudice

If AI does not collect data that accurately represents the population, their decisions may be prone to bias. In 2018, Amazon was criticized for using its AI recruiting tool to downgrade resumes that featured “women” (such as “Women’s Business Community International”). In essence, the AI ​​tool discriminated against women, putting the tech giant at risk of legal action.

Artificial intelligence and privacy

As mentioned earlier in the Lensa AI example, AI relies on data extracted from internet searches, social media photos and comments, online purchases and more. While this helps personalize the customer experience, there are questions about these companies’ apparent lack of consent to access our personal information.

Artificial intelligence and the environment

Some AI models are large and require significant energy to train data. While research is underway to devise methods for efficient artificial intelligence, more can be done to incorporate environmental ethical concerns into AI-related policies.

?How to create a more ethical artificial intelligence

Creating more ethical AI requires a careful look at the ethical implications of policy, education, and technology. Regulatory frameworks can ensure that technologies benefit society rather than harm it. Globally, governments are beginning to enact policies for ethical AI, including how companies deal with legal issues in the event of bias or other harm.

Anyone dealing with AI should understand the risks and possible negative impact of unethical or fake AI. Creating and publishing accessible resources can reduce these types of risks.

Using technology to detect unethical behavior may seem unusual in other forms of technology, but AI tools can be used to determine whether or not a video, audio or text is fake. These tools can identify data sources and unethical bias better and more efficiently than humans.