The dark side of artificial intelligence: deepfake videos

It is no exaggeration to say that popular platforms with loyal users, like Google and Facebook, know those users better than their families and friends do. Many firms collect an enormous amount of data as an input for their artificial intelligence algorithms. Facebook Likes, for example, can be used to predict with a high degree of accuracy various characteristics of Facebook users: “s. orientation, ethnicity, religious and political views, personality traits, intelligence, happiness, use of addictive substances, parental separation, age, and gender,” according to one study.

If proprietary AI algorithms can determine these from the use of something as simple as the ‘like’ button, imagine what information is extracted from search keywords, online clicks, posts and reviews. It is an issue that extends far beyond the digital giants. Giving comprehensive AI algorithms a central role in the digital lives of individuals carries risks. For example, the use of AI in the workplace may bring benefits for firm productivity, but can also be associated with lower quality jobs for workers. Algorithmic decision-making may incorporate biases that can lead to discrimination (eg in hiring decisions, in access to bank loans, in health care, in housing and other areas).

disclaimer: The dark side of artificial intelligence (AI) refers to the potential negative consequences of AI, including ethical, social, and practical issues. Bias: AI can be biased in its algorithms and training data, which can lead to discrimination in hiring, lending, healthcare. Privacy: AI can collect and analyze large amounts of data, which can lead to privacy violations. Manipulation: AI can be used to manipulate human behavior through targeted marketing and other strategies.

February 21, 2025 | 5:11 am