what can ai do in digital research - 1 paragraph

Explain what AI is and provide examples of how it enhances or changes the way we do things.

What kind of articles (in newspapers and magazines or other popular science outlets such as blogs, ...) are being written about AI - and do you think they are realistic? Do an online search about AI related to one of your interests. Choose one of the articles and analyze it.Mention the title of the article along with its author and where it was published (as a URL if applicable) in your answer.Explain the central idea in the article in your own words using about a paragraph of text (multiple sentences.)Based on your understanding, how accurate are the AI-related statements in the article? Explain your answer. Are the implications (if any) realistic? Explain why or why not.

"AI" redirects here. For other uses, see AI (disambiguation), Artificial intelligence (disambiguation), and Intelligent agent.Part of a series onArtificial intelligenceshowMajor goalsshowApproachesshowApplicationsshowPhilosophyshowHistoryshowGlossaryvteArtificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems. It is a field of research in computer science that develops and studies methods and software which enable machines to perceive their environment and uses learning and intelligence to take actions that maximize their chances of achieving defined goals.[1] Such machines may be called AIs.AI technology is widely used throughout industry, government, and science. Some high-profile applications include advanced web search engines (e.g., Google Search); recommendation systems (used by YouTube, Amazon, and Netflix); interacting via human speech (e.g., Google Assistant, Siri, and Alexa); autonomous vehicles (e.g., Waymo); generative and creative tools (e.g., ChatGPT and AI art); and superhuman play and analysis in strategy games (e.g., chess and Go).[2] However, many AI applications are not perceived as AI: "A lot of cutting edge AI has filtered into general applications, often without being called AI because once something becomes useful enough and common enough it's not labeled AI anymore."[3][4]Alan Turing was the first person to conduct substantial research in the field that he called machine intelligence.[5] Artificial intelligence was founded as an academic discipline in 1956.[6] The field went through multiple cycles of optimism,[7][8] followed by periods of disappointment and loss of funding, known as AI winter.[9][10] Funding and interest vastly increased after 2012 when deep learning surpassed all previous AI techniques,[11] and after 2017 with the transformer architecture.[12] This led to the AI boom of the early 2020s, with companies, universities, and laboratories overwhelmingly based in the United States pioneering significant advances in artificial intelligence.[13]The growing use of artificial intelligence in the 21st century is influencing a societal and economic shift towards increased automation, data-driven decision-making, and the integration of AI systems into various economic sectors and areas of life, impacting job markets, healthcare, government, industry, and education. This raises questions about the long-term effects, ethical implications, and risks of AI, prompting discussions about regulatory policies to ensure the safety and benefits of the technology.The various sub-fields of AI research are centered around particular goals and the use of particular tools. The traditional goals of AI research include reasoning, knowledge representation, planning, learning, natural language processing, perception, and support for robotics.[a] General intelligence—the ability to complete any task performable by a human on an at least equal level—is among the field's long-term goals.[14]To reach these goals, AI researchers have adapted and integrated a wide range of techniques, including search and mathematical optimization, formal logic, artificial neural networks, and methods based on statistics, operations research, and economics.[b] AI also draws upon psychology, linguistics, philosophy, neuroscience, and other fields.[15]

What is a significant advantage of AI in research over traditional methods?Limiting access to updated informationEncouraging manual data collectionReducing the time spent on gathering dataIncreasing the complexity of research

Section 4: Influence of AI and visualisationa) Evaluate the potential benefits that increased use of AI technologiescould bring to your SEEK company, along with the potential challenges with itsimplementation. Support your analysis with examples of two (2) benefitsAND two (2) challenges from your research.b) Create a stakeholder map using a variety of digital means to effectivelycommunicate the impact of the increased use of AI in your selectedcompany.