The legal profession has a long history of keeping pace with technology as it advances. With the development and spread of artificial intelligence (AI), various professions have embraced its ability to automate tasks that people once did. This shift has caused anxiety among lawyers, who worry about losing their jobs to machines. But it is becoming clear that, as AI evolves, lawyers will find new and innovative ways to use it in their practices. AI is already used in some law firms to automate such tasks as contract review and discovery.

There is a substantial and ever-growing corpus of evidence and literature exploring the impacts of Artificial intelligence (AI) technologies on society, politics, and humanity as a whole. A separate, parallel body of work has explored existential risks to humanity, including but not limited to that stemming from unaligned Artificial General Intelligence (AGI). In this paper, we problematise the notion that current and near-term artificial intelligence technologies have the potential to contribute to existential risk by acting as intermediate risk factors, and that this potential is not limited to the unaligned AGI scenario. We propose the hypothesis that certain already-documented effects of AI can act as existential risk factors, magnifying the likelihood of previously identified sources of existential risk. Moreover, future developments in the coming decade hold the potential to significantly exacerbate these risk factors, even in the absence of artificial general intelligence. Our main contribution is a (non-exhaustive) exposition of potential AI risk factors and the causal relationships between them, focusing on how AI can affect power dynamics and information security. This exposition demonstrates that there exist causal pathways from AI systems to existential risks that do not presuppose hypothetical future AI capabilities.

As one of the most successful AI-powered applications, recommender systems aim to help people make appropriate decisions in an effective and efficient way, by providing personalized suggestions in many aspects of our lives, especially for various human-oriented online services such as e-commerce platforms and social media sites. In the past few decades, the rapid developments of recommender systems have significantly benefited human by creating economic value, saving time and effort, and promoting social good. However, recent studies have found that data-driven recommender systems can pose serious threats to users and society, such as spreading fake news to manipulate public opinion in social media sites, amplifying unfairness toward under-represented groups or individuals in job matching services, or inferring privacy information from recommendation results. Therefore, systems' trustworthiness has been attracting increasing attention from various aspects for mitigating negative impacts caused by recommender systems, so as to enhance the public's trust towards recommender systems techniques. In this survey, we provide a comprehensive overview of Trustworthy Recommender systems (TRec) with a specific focus on six of the most important aspects; namely, Safety & Robustness, Nondiscrimination & Fairness, Explainability, Privacy, Environmental Well-being, and Accountability & Auditability. For each aspect, we summarize the recent related technologies and discuss potential research directions to help achieve trustworthy recommender systems in the future.

Artificial intelligence thinkers seem to emerge from two communities. One is what I call blue-sky visionaries who speculate about the future possibilities of the technology, invoking utopian fantasies to generate excitement. Blue-sky ideas are compelling but are often clouded over by unrealistic visions and the ethical challenges of what can and should be built. In contrast, what I call muddy-boots pragmatists are problem- and solution-focused. They want to reduce the harms that widely used AI-infused systems can create.

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The global AI in retail market size is anticipated to reach USD 40.74 billion by 2030, expanding at a CAGR of 23.9% from 2022 to 2030, according to a new study by Grand View Research, Inc. The rising prominence of advanced technologies, such as chatbots and voice recognition programs, has furthered the growth potential. Moreover, the emerging online retail sales, increasing focus of retailers on improving customers' shopping experience, rising reliance on digital marketing, and growing investments in AI, accompanied by supportive government regulations, are the crucial factors contributing to the progress of the industry worldwide. Read 145 page full market research report for more Insights, "AI In Retail Market Size, Share & Trends Analysis Report By Component, By Technology (Chatbots, Natural Language Processing), By Sales Channel, By Application, By Region, And Segment Forecasts, 2022 - 2030", published by Grand View Research. AI algorithms play a pivotal role in assessing a considerable amount of data collated from consumers' online behavior.

The fear that robots are taking over the world might not be that far-fetched. While artificial intelligence is praised for its responsiveness to expansive amounts of information, AI seems to be absorbing biases, too. An experiment published in June demonstrated that robots trained with artificial intelligence exhibited racism and sexism in their decision-making. While sorting through billion of images, robots in this experiment routinely categorized Black men as "criminals." Similarly, the label "homemaker" was given to women more regularly than it was given to men.

Nowadays, much of humanity's hopes are placed in the development of Artificial Intelligence (AI), which is seen as a way to cure diseases, improve diagnostics or care for the environment. However, there are also many fears motivated by the possibility that the algorithms could end up escaping human control. In fact, some intellectual figures of the stature of the late physicist Stephen Hawking have reflected on the apocalyptic risk of these technologies, a warning that has been joined by others such as tech magnate Elon Musk and UN High Commissioner for Human Rights Michelle Bachelet. While the debate continues, here is a series of developments in recent years that will neither save the world nor bring about its demise, but rather serve to entertain us with the more curious side of AI. Can the sexual orientation of people be detected by their appearance?

Artificial Intelligence (AI) is the simulation and augmentation of human intelligence demonstrated by machines. It has the potential to revolutionise the world and is set to become the most impactful human innovation in history. The first alternative is for the AI to be granted ownership. The next step is to explore the realm of attributing ownership to the developer of AI. This category shall include individuals who contributed to the creation and development of AI-generated works.

Just as artificial intelligence has improved the decisions organizations make to optimize financial performance, improve processes, meet customer needs, and more, it will be critical in helping them reach their climate goals. In fact, because it can gather, complete, and interpret large, complex datasets on emissions and climate impact, A.I. is fundamentally important in helping to manage the full range of climate-related issues. BCG recently conducted a global survey of 1,000 leaders in A.I. and climate that tells us more about that potential--as well as the barriers getting in the way. We found that 87% of respondents feel that advanced analytics and A.I., or simply "A.I.," is a helpful tool in the fight against climate change today, but only 43% say that they have a vision for using A.I. in their own climate change efforts. They see the greatest business value for AI in the reduction and measurement of emissions.