State of the art and practice in AI in education
State of the art and practice in AI in education 2022 Authored: Wayne Holmes and Ilkka Tuomi Published: Wiley Online Library Summary: The article discusses the potential and limitations of Artificial Intelligence in Education (AIED). It highlights misunderstandings, narrow views, and the need to consider both data-driven and knowledge-based AI approaches. The future of AIED […]
A new AI chatbot might do your homework for you. But it’s still not an A+ student.
Emma Bowman
– National Public Radio
The article discusses the potential impact of ChatGPT, an artificial intelligence chatbot, on academia. While it has amazed users with its abilities to solve problems and generate content, concerns have been raised about its potential for academic fraud and dissemination of incorrect or biased information. Users are warned about its limitations, and experts view its public debut as an opportunity for peer review and understanding the challenges associated with AI language tools.
The Role of AI in Digital Transformation
Leah Zitter – Whatfix Blog
Digital transformation is the process of using digital technology to improve business productivity and efficiency. It encompasses various technologies, including cloud software, AI, blockchain, and robotics. AI has significant applications in customer service, IT and security, sales, business operations, and HR. It can enhance customer experience, detect security threats, boost sales efficiency, automate business processes, and streamline HR functions. Successful digital transformation requires understanding the organization’s goals, change management, and acceptance across the workforce. AI adoption is becoming increasingly common as businesses recognize its potential to drive efficiency and generate savings.
Artificial Intelligence Will Change How We Think About Leadership
Shorter excerpt based on the larger, in-page summary will be located here. Shorter excerpt based on the larger, in-page summary will be located here.
Principled Artificial Intelligence
Principled Artificial Intelligence January 15, 2020 Authored: Jessica Fjeld & Adam Nagy Published: MAPPING CONSENSUS IN ETHICAL AND RIGHTS-BASED APPROACHES TO PRINCIPLES FOR AI Summary: The article discusses the development of AI principles by various organizations and highlights eight key themes found in these principles: Privacy, Accountability, Safety and Security, Transparency and Explainability, Fairness and […]
7 Common Myths About AI
Sebastian Schaal – Medium
This article debunks several myths about artificial intelligence (AI), machine learning (ML), and deep learning (DL). It clarifies the distinctions between these terms, the role of data in ML, and the limitations of neural networks compared to the human brain. It also emphasizes that superintelligence is still a distant concept and that open-source initiatives have democratized ML research beyond major tech companies.
As AI Makes More Decisions, the Nature of Leadership Will Change
As AI Makes More Decisions, the Nature of Leadership Will Change January 22, 2018 Authored: Tomas Chamorro-Premuzic, Michael Wade, and Jennifer Jordan Published: Harvard Business Review Summary: The rise of artificial intelligence poses both threats and opportunities for human leadership. AI is likely to replace many cognitive aspects of leadership but will also emphasize the […]
Hold Artificial Intelligence Accountable
Chamith Fonseka
Harvard University, The Graduate School of Arts and Sciences
The article discusses the concept of invisible AI, where AI algorithms operate behind the scenes to predict outcomes and make decisions in various fields. It highlights how invisible AI can be used for price steering, job hiring, and even criminal sentencing, and how lack of transparency in AI algorithms can lead to biased and unfair outcomes. The article calls for regulations and transparency in AI to ensure ethical and equitable use of the technology.
Can Machines Think?
Rockwell Anyoha – Harvard University
The article traces the history of Artificial Intelligence ( from its inception in science fiction to its development in the 20th century. It highlights the early challenges faced by AI due to computational limitations and the subsequent breakthroughs in algorithmic techniques and increased computer power. The article discusses AI’s achievements, including chess-playing computers and speech recognition software. The current age of “big data” and AI’s applications in various industries are explored, and the future prospects of AI, particularly in language processing and driverless cars, are considered. The ultimate goal of achieving general intelligence is mentioned, with ethical concerns surrounding it.