Criminal justice is an increasingly important application domain for machine learning and algorithmic fairness, as predictive tools are becoming widely used in police, courts, and prison systems worldwide. A few relevant benchmarks have received significant attention, e.g., the COMPAS dataset, often without proper consideration of the domain context. To raise awareness of publicly available criminal justice datasets and encourage their responsible use, we conduct a survey, consider contexts, highlight potential uses, and identify gaps and limitations. We provide datasheets for 15 datasets and upload them to a public repository. We compare the datasets across several dimensions, including size, coverage of the population, and potential use, highlighting concerns. We hope that this work can provide a useful starting point for researchers looking for appropriate datasets related to criminal justice, and that the repository will continue to grow as a community effort.

Criminal justice is an increasingly important application domain for machine learning and algorithmic fairness, as predictive tools are becoming widely used in police, courts, and prison systems worldwide. A few relevant benchmarks have received significant attention, e.g., the COMPAS dataset, often without proper consideration of the domain context. To raise awareness of publicly available criminal justice datasets and encourage their responsible use, we conduct a survey, consider contexts, highlight potential uses, and identify gaps and limitations. We provide datasheets for 15 datasets and upload them to a public repository. We compare the datasets across several dimensions, including size, coverage of the population, and potential use, highlighting concerns.

Artificial Intelligence Impact Assessments ("AIIAs"), a family of tools that provide structured processes to imagine the possible impacts of a proposed AI system, have become an increasingly popular proposal to govern AI systems. Recent efforts from government or private-sector organizations have proposed many diverse instantiations of AIIAs, which take a variety of forms ranging from open-ended questionnaires to graded score-cards. However, to date that has been limited evaluation of existing AIIA instruments. We conduct a classroom study (N = 38) at a large research-intensive university (R1) in an elective course focused on the societal and ethical implications of AI. We assign students to different organizational roles (for example, an ML scientist or product manager) and ask participant teams to complete one of three existing AI impact assessments for one of two imagined generative AI systems. In our thematic analysis of participants' responses to pre- and post-activity questionnaires, we find preliminary evidence that impact assessments can influence participants' perceptions of the potential risks of generative AI systems, and the level of responsibility held by AI experts in addressing potential harm. We also discover a consistent set of limitations shared by several existing AIIA instruments, which we group into concerns about their format and content, as well as the feasibility and effectiveness of the activity in foreseeing and mitigating potential harms. Drawing on the findings of this study, we provide recommendations for future work on developing and validating AIIAs.

OpenAI CEO Sam Altman said that he was "a little bit scared" of ChatGPT and admitted that his technology would likely destroy "a lot of current jobs." In addition to writing articles, songs and code in mere seconds, ChatGPT could potentially make its way into your doctor's office -- if it hasn't already. The artificial intelligence-based chatbot, released by OpenAI in December 2022, is a natural language processing (NLP) model that draws on information from the web to produce answers in a clear, conversational format. While it's not intended to be a source of personalized medical advice, patients are able to use ChatGPT to get information on diseases, medications and other health topics. Some experts even believe the technology could help physicians provide more efficient and thorough patient care.

Chatbots have become increasingly popular in recent years, with businesses and organizations using them to automate customer service, streamline operations, and provide an improved user experience. GPT (Generative Pre-trained Transformer) chatbots are a type of AI-powered chatbot that uses natural language processing to understand and respond to user queries. GPT chatbots are built using deep learning techniques, which allows them to process large amounts of data and learn from it. They rely on pre-trained language models, such as OpenAI's GPT-4, which has been trained on vast amounts of text data and can generate human-like responses to a wide range of queries. One of the key benefits of GPT chatbots is their ability to understand and interpret natural language.

Artificial intelligence is not only altering the course of the internet but also impacting the future of business. While some fear that it will have harmful economic repercussions by replacing people in jobs, AI can also serve as a game-changing tool to grow a business and increase its efficiency -- help with everything from lead generation to content creation. Launched by OpenAI in November of 2022, this chatbot amassed more than a million users in just five days. A generative dialogue AI application, it can create new content, and its potential uses are virtually endless -- from writing full essays to blog posts, song lyrics to cover letters and resumes. It can even draft legal contracts using local statutes/regulations pulled from public sources.

Artificial intelligence (AI) has the potential to revolutionize many aspects of our lives, including the way we conduct cyber attacks. While the use of AI for cyber attacks is still in its early stages, it is likely that it will become more prevalent in the near future. There are a number of ways in which AI could be used to enhance the capabilities of hackers and other malicious actors. For example, AI could be used to automate and speed up the process of identifying and exploiting vulnerabilities in computer systems. This could make it easier for hackers to gain access to sensitive information or disrupt critical systems.

What seems to be on most people's lips recently with the exception of and the holidays and web3 seems to be Artificial intelligence (AI). The recent developments and advancement of AI has made a lot of people wonder if Artificial intelligence would one day take over prominent jobs of humans or is this happening already? IS ARTIFICIAL INTELLIGENCE TAKING OVER ART INDUSTRIES? I decided to write this article to show some of my views on Artificial intelligence in relation with the possibility of AI taking over art industries. Let me begin by actually introducing AI.

CES is the world's most prominent technology event, serving as a testing ground for new technologies and worldwide innovators. This is where the world's most well-known brands conduct business and meet new partners, as well as the brightest innovators, take the stage. The Consumer Technology Association (CTA) owns and produces CES, which showcases every facet of the technology industry. Manufacturers, developers, and suppliers of consumer technology products, content, technology delivery systems, and more are featured at CES. Exhibitors present items in all areas of consumer technology, including 5G connectivity, artificial intelligence, augmented and virtual reality, smart cities, sports, robotics, and more. This article explores the top AI announcements made at CES 2022 till now.

JUST is searching faster and further, collaborating with rural farmers, Michelin-starred chefs, and world-class product developers to discover more effective tools within the plant kingdom to make food tastier, healthier, and more sustainable. But it all starts with the tools. And there happens to be 400,000 of them. Collectively, these species possess 18 billion proteins, 108 million fats, and 4 million carbohydrates. Most of them have never even been explored for the potential to make our cookies, pasta, ice cream, butter, or scrambled eggs better.