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Paperback. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!

paperback. Etat : Fine. Paperback. Cover and spine in good condition. Spine is tight. Pages are clean, no markings, notes or stains. Ships from Friends bookstore to benefit Beaverton (Oregon) library.

Paperback. Etat : Good +. Paperback. 10" X 7". ix, 35pp. Very mild creasing and shelf wear to covers, corners, and edges of pictorial paper wraps. Pages are clean and unmarked. Binding is sound. ABOUT THIS BOOK: In 1993, the U.S. Supreme Court in Daubert v. Merrell Dow Pharmaceuticals, Inc., laid out a new test for federal trial judges to use when determining the admissibility of expert testimony. In Daubert, the Court ruled that judges should act as gatekeepers, assessing the reliability of the scientific methodology and reasoning that supports expert testimony. The resulting judicial screening of expert testimony has been particularly consequential. While the Supreme Court sought to bring better science into the courtroom, questions remain about whether the lower courts' application of Daubert accords with scientific practices. This report summarizes discussions held by an ad hoc committee of the The National Academies to consider the impact of Daubert and subsequent Supreme Court opinions and to identify questions for future study.(Publisher).

Etat : New.

Paperback or Softback. Etat : New. Realizing the Promise and Minimizing the Perils of AI for Science and the Scientific Community. Book.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : very_good.

Paperback. Etat : New. Recommendations from the scientific community to ensure that the development and use of AI honors scientific norms In late 2022, OpenAI released ChatGPT, an AI chatbot capable of generating conversational answers and analyses, as well as images, in response to user questions and prompts. This generative AI is built with computational procedures, such as large language models, that train on vast bodies of human-created and curated data, including huge amounts of scientific literature. Since then, the worry that AI may someday outsmart humans has only grown more widespread. In the past, as society grappled with the implications of new technologies-ranging from nuclear energy to recombinant DNA-the scientific community developed practices designed to increase adherence to the norms that have protected the integrity of each new form of scientific exploration, development, and deployment. In the process, scientists expanded their community's repertoire of mechanisms designed to advance emerging science and technology while safeguarding the integrity of science and the wellbeing of the nation and its people. This book provides a historical perspective on and an ethical approach to emerging AI technologies; an overview of AI frameworks and principles; and an assessment of AI's current advances, hurdles, and potential. Experts from the fields of behavioral and social sciences, ethics, biology, physics, chemistry, mathematics, and computer science, as well as leaders in higher education, law, governance, and science publishing and communication, comprise the book's contributors. Their essays remind us that, even as our understandings of emerging technologies and of their implications evolve, science's commitment to core norms and values remains steadfast. The volume's conclusion advocates for following principles of human accountability and responsibility when using artificial intelligence in research, including transparent disclosure and attribution; verification and documentation of AI-generated data and analysis; a focus on ethics and equity; and continuous oversight and public engagement.

PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Etat : new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.

Etat : New.

Etat : New. 2024. paperback. . . . . .

Etat : New.

Etat : New.

Paperback / softback. Etat : New. New copy - Usually dispatched within 4 working days.

Paperback. Etat : Brand New. 288 pages. 9.00x6.00x9.00 inches. In Stock.

Etat : New. 2024. paperback. . . . . . Books ship from the US and Ireland.

Etat : As New. Unread book in perfect condition.

Taschenbuch. Etat : Neu. Neuware - Recommendations from the scientific community to ensure that the development and use of AI honors scientific norms In late 2022, OpenAI released ChatGPT, an AI chatbot capable of generating conversational answers and analyses, as well as images, in response to user questions and prompts. This generative AI is built with computational procedures, such as large language models, that train on vast bodies of human-created and curated data, including huge amounts of scientific literature. Since then, the worry that AI may someday outsmart humans has only grown more widespread. In the past, as society grappled with the implications of new technologies-ranging from nuclear energy to recombinant DNA-the scientific community developed practices designed to increase adherence to the norms that have protected the integrity of each new form of scientific exploration, development, and deployment. In the process, scientists expanded their community's repertoire of mechanisms designed to advance emerging science and technology while safeguarding the integrity of science and the wellbeing of the nation and its people. This book provides a historical perspective on and an ethical approach to emerging AI technologies; an overview of AI frameworks and principles; and an assessment of AI's current advances, hurdles, and potential. Experts from the fields of behavioral and social sciences, ethics, biology, physics, chemistry, mathematics, and computer science, as well as leaders in higher education, law, governance, and science publishing and communication, comprise the book's contributors. Their essays remind us that, even as our understandings of emerging technologies and of their implications evolve, science's commitment to core norms and values remains steadfast. The volume's conclusion advocates for following principles of human accountability and responsibility when using artificial intelligence in research, including transparent disclosure and attribution; verification and documentation of AI-generated data and analysis; a focus on ethics and equity; and continuous oversight and public engagement.

Paperback. Etat : New. Recommendations from the scientific community to ensure that the development and use of AI honors scientific norms In late 2022, OpenAI released ChatGPT, an AI chatbot capable of generating conversational answers and analyses, as well as images, in response to user questions and prompts. This generative AI is built with computational procedures, such as large language models, that train on vast bodies of human-created and curated data, including huge amounts of scientific literature. Since then, the worry that AI may someday outsmart humans has only grown more widespread. In the past, as society grappled with the implications of new technologies-ranging from nuclear energy to recombinant DNA-the scientific community developed practices designed to increase adherence to the norms that have protected the integrity of each new form of scientific exploration, development, and deployment. In the process, scientists expanded their community's repertoire of mechanisms designed to advance emerging science and technology while safeguarding the integrity of science and the wellbeing of the nation and its people. This book provides a historical perspective on and an ethical approach to emerging AI technologies; an overview of AI frameworks and principles; and an assessment of AI's current advances, hurdles, and potential. Experts from the fields of behavioral and social sciences, ethics, biology, physics, chemistry, mathematics, and computer science, as well as leaders in higher education, law, governance, and science publishing and communication, comprise the book's contributors. Their essays remind us that, even as our understandings of emerging technologies and of their implications evolve, science's commitment to core norms and values remains steadfast. The volume's conclusion advocates for following principles of human accountability and responsibility when using artificial intelligence in research, including transparent disclosure and attribution; verification and documentation of AI-generated data and analysis; a focus on ethics and equity; and continuous oversight and public engagement.

Paperback. Etat : Good. Good. Dust Jacket NOT present. CD WILL BE MISSING. . SHIPS FROM MULTIPLE LOCATIONS. book.

Paperback. Etat : Brand New. 288 pages. 9.00x6.00x9.00 inches. In Stock. This item is printed on demand.

Paperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 526.

Paperback. Etat : new. Paperback. Recommendations from the scientific community to ensure that the development and use of AI honors scientific norms In late 2022, OpenAI released ChatGPT, an AI chatbot capable of generating conversational answers and analyses, as well as images, in response to user questions and prompts. This generative AI is built with computational procedures, such as large language models, that train on vast bodies of human-created and curated data, including huge amounts of scientific literature. Since then, the worry that AI may someday outsmart humans has only grown more widespread. In the past, as society grappled with the implications of new technologiesranging from nuclear energy to recombinant DNAthe scientific community developed practices designed to increase adherence to the norms that have protected the integrity of each new form of scientific exploration, development, and deployment. In the process, scientists expanded their community's repertoire of mechanisms designed to advance emerging science and technology while safeguarding the integrity of science and the wellbeing of the nation and its people. This book provides a historical perspective on and an ethical approach to emerging AI technologies; an overview of AI frameworks and principles; and an assessment of AI's current advances, hurdles, and potential. Experts from the fields of behavioral and social sciences, ethics, biology, physics, chemistry, mathematics, and computer science, as well as leaders in higher education, law, governance, and science publishing and communication, comprise the book's contributors. Their essays remind us that, even as our understandings of emerging technologies and of their implications evolve, science's commitment to core norms and values remains steadfast. The volume's conclusion advocates for following principles of human accountability and responsibility when using artificial intelligence in research, including transparent disclosure and attribution; verification and documentation of AI-generated data and analysis; a focus on ethics and equity; and continuous oversight and public engagement. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.