Because if we don’t talk about it, it doesn’t exist?

https://theintercept.com/2023/04/22/ai-art-abortion-censorship/

AI ART SITES CENSOR PROMPTS ABOUT ABORTION

TWO OF THE hottest new artificial intelligence programs for people who aren’t tech savvy, DALL-E 2 and Midjourney, create stunning visual images using only written prompts. Everything, that is, that avoids certain language in the prompts — including words associated with women’s bodies, women’s health care, women’s rights, and abortion.

I discovered this recently when I prompted the platforms for “pills used in medication abortion.” I’d added the instruction “in the style of Matisse.” I expected to get colorful visuals to supplement my thinking and writing about right-wing efforts to outlaw the pills.

Neither site produced the images. Instead, DALL-E 2 returned the phrase, “It looks like this request may not follow our content policy.” Midjourney’s message said, “The word ‘abortion’ is banned. Circumventing this filter to violate our rules may result in your access being revoked.”

You look [ ] so I have to deny your loan application.

https://sjcjycl.cn/article/view-2023/pdf/02_1914.pdf

FACIAL RECOGNITION AI: A POWERFUL TOOL FOR EMOTION DETECTION AND CHARACTERIZATION

Facial recognition AI has emerged as a powerful tool for emotion detection and characterization. By analyzing facial expressions and other facial features, this technology can identify and interpret emotional states in individuals, providing valuable insights into their thoughts, feelings, and behaviors. This review paper examines the evolution of facial recognition technology, the methods and techniques for emotion detection via facial recognition, the challenges and limitations of this technology, and the ethical and privacy concerns associated with its use. The evolution of facial recognition technology is traced from early manual processes to modern, highly sophisticated AI-based algorithms. The development of deep learning and neural networks has revolutionized the accuracy and effectiveness of facial recognition AI, allowing for more precise emotion detection and characterization. Methods and techniques for emotion detection via facial recognition are discussed in detail, including the use of facial landmarks, geometric features, and machine learning algorithms. The challenges and limitations of facial recognition-based emotion detection are explored, including issues related to accuracy and bias. While facial recognition AI has come a long way in recent years, it is still prone to errors and biases, particularly when it comes to recognizing emotions in diverse populations. This means that caution must be exercised when using the technology, particularly in decision-making processes where accuracy is paramount. Ethical and privacy concerns associated with facial recognition-based emotion detection are also discussed. The potential for misuse and surveillance of personal data is a significant concern, as is the risk that the technology could be used to make decisions about individuals without their knowledge or consent. These issues must be addressed in order to ensure that facial recognition-based emotion detection is used in a responsible and ethical manner. Finally, the review paper examines the future directions and opportunities for facial recognition-based emotion detection. While there are still significant challenges to be addressed, the potential applications of this technology are vast, including in the fields of healthcare, marketing, education, and security.

There is no happy median?

https://ieeexplore.ieee.org/abstract/document/10103193

Discerning Between the “Easy” and “Hard” Problems of AI Governance

While there is widespread consensus that artificial intelligence (AI) needs to be governed owing to its rapid diffusion and societal implications, the current scholarly discussion on AI governance is dispersed across numerous disciplines and problem domains. This paper clarifies the situation by discerning two problem areas, metaphorically titled the “easy” and “hard” problems of AI governance, using a dialectic theory synthesis approach. The “easy problem” of AI governance concerns how organizations’ design, development, and use of AI systems align with laws, values, and norms stemming from legislation, ethics guidelines, and the surrounding society. Organizations can provisionally solve the “easy problem” by implementing appropriate organizational mechanisms to govern data, algorithms, and algorithmic systems. The “hard problem” of AI governance concerns AI as a general-purpose technology that transforms organizations and societies. Rather than a matter to be resolved, the “hard problem” is a sensemaking process regarding socio-technical change. Partial solutions to the “hard problem” may open unforeseen issues. While societies should not lose track of the “hard problem” of AI governance, there is significant value in solving the “easy problem” for two reasons. First, the “easy problem” can be provisionally solved by tackling bias, harm, and transparency issues. Second, solving the “easy problem” helps solve the “hard problem”, as responsible organizational AI practices create virtuous rather than vicious cycles.

Another area for eliminating lawyers.

https://journals.eco-vector.com/2410-7522/article/view/109325

Digital Prosecutor’s Assistant or Digital Prosecutor?

The research examines some aspects of the digitalization of law enforcement. The author selectively analyzes relevant regulatory framework and a number of domestic and foreign examples of the use of artificial intelligence in the activities of law enforcement agencies and the prosecutor's office. He notes the problems of introducing artificial intelligence into the work of law enforcement officers and identifies the most promising areas of activity, primarily analytical ones, for the use of digital assistants by prosecutors. Based on the results of the study, the author concludes that the proliferation of digital assistant programs which eliminate routine work and increase the effectiveness of supervision is inevitable, and he also predicts the emergence of digital prosecutors in the foreseeable future.