AIIC UK & Ireland webinar 15 January 2021 The aim of the final session in our series is to draw conclusions about the extent to which our profession is under pressure, to identify how AI solutions will impact on our profession in the coming years, to consider how AI is perceived by both interpreters and users of interpretation services, and how conference interpreters should respond to the challenges facing our profession. Speakers: – Thomas Jayes, Head of Strategy and Innovation Unit, Advisor to the Director General, Directorate-General for Logistics and Interpretation for Conferences (DG LINC), European Parliament – Antonio Paoletti, Head of the Meeting Services and Interpretation Section, Conference Division at the International Maritime Organisation (United Nations) – Naomi Bowman, CEO of DS-Interpretation, Inc. – Dr Jan Niehues, Assistant Professor, Department of Data Science and Knowledge Engineering, University of Maastricht – Dr William Lewis, Affiliate Assistant Professor, Department of Linguistics, University of Washington Moderator: Monika Kokoszycka, AIIC UK & Ireland More videos in this series: ——————————————————— Artificial Intelligence and the Interpreter Webinar series organised by AIIC’s United Kingdom & Ireland Region How will artificial intelligence change the interpreting profession? The implications for the market, interpreter training and the delivery of interpreting services could be profound. In this series of webinars, experts in the field explain how advanced current speech-to-speech translation solutions are, what the challenges are, how AI can support human interpreters, and what we can expect in the future. For details, see Organising Committee – AIIC UK [More]
In the future, robots will be teaching in the classrooms. The video shows two robots teaching in the classroom real environment. Subscribe, Like, and share the Video. This video is captured at Robotics lab, newly established at Prince Mohammad bin Fahd University, Saudi Arabia. For more details visit
Excited to see the use of AR, AI in Education. Its time to improve the way we educate. Editing Monitors : Check out our website: Follow Telusko on Twitter: Follow on Facebook: Telusko :… Navin Reddy : Follow Navin Reddy on Instagram: Subscribe to our other channel: Navin Reddy :… Telusko Hindi :… Donation: PayPal Id : navinreddy20 Patreon : navinreddy20
Humans shape things, and things shape humans as well. As AI develops disruptively, more and more people are curious about the potential future we will have. One of the essential topics of our future is education transformation. With the fast development of technology and the increase of population, how can we use the power of AI to improve education and prepare for future challenges? As the first robot with citizenship, Sophia can bridge AI and humans deeply. By encouraging deep and comprehensive discussion on future education, we can inspire the young generations and think about developing new talents for a better future.
Elon Musk Reaction Video (ft. Sam Harris) #elonmusk #samharris #reaction RELATED TO Elon Musk Religion Elon Musk challenges Vladimir Putin in a series of tweets Can we build AI without losing control over it? | Sam Harris Neuralink Launch Event Reaction to Sam Harris & Jordan Peterson’s epic Fail: the Elon Musk Challenge Sam Harris prophecies Elon Musk’s God: Jordan Peterson’s epic miss! Sam Harris and Elon Musk: Nietzsche saw their God in 1872 Watch the full show @Logos XXI: The Rise of the One Check out @Plato’s Republic 2033
Filmmaker Jay Shapiro has produced a new series of audio documentaries, exploring the major topics that Sam has focused on over the course of his career. Each episode weaves together original analysis, critical perspective, and novel thought experiments with some of the most compelling exchanges from the Making Sense archive. Whether you are new to a particular topic, or think you have your mind made up about it, we think you’ll find this series fascinating. In this episode, we explore the landscape of Artificial Intelligence. We’ll listen in on Sam’s conversation with decision theorist and artificial-intelligence researcher Eliezer Yudkowsky, as we consider the potential dangers of AI — including the control problem and the value-alignment problem — as well as the concepts of Artificial General Intelligence, Narrow Artificial Intelligence, and Artificial Super Intelligence. We’ll then be introduced to philosopher Nick Bostrom’s “Genies, Sovereigns, Oracles, and Tools,” as physicist Max Tegmark outlines just how careful we need to be as we travel down the AI path. Computer scientist Stuart Russell will then dig deeper into the value-alignment problem and explain its importance. We’ll hear from former Google CEO Eric Schmidt about the geopolitical realities of AI terrorism and weaponization. We’ll then touch the topic of consciousness as Sam and psychologist Paul Bloom turn the conversation to the ethical and psychological complexities of living alongside humanlike AI. Psychologist Alison Gopnik then reframes the general concept of intelligence to help us wonder if the kinds of systems we’re building using “Deep Learning” are [More]
Medical imaging in radiology has come a long way, and the latest artificial intelligence (AI)-driven techniques are going much further. If the first few decades of radiology were about refining the resolution of the pictures taken of the body, then the next decades will be dedicated to interpreting that data to ensure nothing is overlooked. Read more about artificial intelligence and healthcare: Subscribe to TIME’s YouTube channel ►► Subscribe to TIME: Get the day’s top headlines to your inbox, curated by TIME editors: Follow us: Twitter: Facebook: Instagram:
Dominic Martin is a professor of ethics at the School of Management of the Université du Québec à Montréal (UQAM). His work combines approaches from ethics, contemporary political philosophy, economics, and law, to grapple with questions of distributive justice, the role of the state – and intergovernmental regulatory bodies – in shaping market structures and the ethical obligations of business. His recent research projects deal with the new ethical issues associated with the rise of artificial intelligence (AI) and the increase usage of algorithms in society, such as questions of algorithmic accountability, the creation of artificial moral agents, and the socio-economic impact of AI. The goal of imparting moral agency to an automated system is directly or indirectly relevant in fields ranging from computer science to psychology, health sciences, governance, management and international politics. Artificial moral agency or agents (AMA) has been a topic of interest in computer science and engineering ethics for at least two decades, but recent developments in AI led to an explosion of new contributions on the topic. While this is promising, research on the topic has also become fragmented, and even speculative in some cases, with work discussing specific aspects of AMA without the emergence of dominant views, or clear debates or research questions. My main objective in this talk will be to take stock of the work on AMA accomplished in the last decades and examine three main questions from a philosophical perspective. First, what is the most promising approach for implementing moral agency [More]
Recorded Wednesday, September 29, 2021 Session 1 of the Lifelong Learning Series: Artificial Intelligence The intersection of computer science, philosophy and neuroscience is perhaps the most fascinating destination today for artificial intelligence researchers. Should AI adhere to the same moral principles as humans? If so, how do we successfully program it? If not, what moral code should AI follow? Join us for an overview of the social and ethical implications of artificially intelligent systems and how we can keep them accountable to our morals. Moderator • Walter Sinnott-Armstrong, Chauncey Stillman Distinguished Professor of Practical Ethics, Trinity College of Arts & Sciences Speakers • Vincent Conitzer, Professor of Computer Science, Economics, and Philosophy, Trinity College of Arts & Sciences • Jana Schaich Borg, Associate Research Professor, Duke Social Science Research Institute
I know, the title of this talk is like saying the only way to stop a bad Terminator is to use a good Terminator but hear me out. Human biases influence the outputs of an AI model. AI amplifies bias and socio-technical harms impact fairness, adoption, safety, and the well being. These harms disproportionately affect legally protected classes of individuals and groups in the United States. It’s so fitting that this year’s theme for International Women’s day was #BreakTheBias so join Noble as he returns to Strangeloop to expand on the topic of bias, deconstructs techniques to de-bias datasets by example for building intelligent systems that are fair and equitable while increasing trust and adoption. Noble Ackerson Former Google Developers Expert, Responsible AI @nobleackerson Mr. Ackerson is a Director of Product at Ventera Corporation focused on AI/ML and Data Science enabling responsible use of AI practices across commercial and federal clients. He also serves as President of Cyber XR where he focuses on Safety, Privacy, and Diversity intersections in XR. Noble is a Certified AI Product Manager, a Google Certified Design Sprint Master, and formally a Google Developers Expert for Product Strategy. His professional career is centered at the intersection of data ethics and emergent tech. From implementing practical data governance privacy principles, frameworks, empowering enterprises with the tools to eliminate bias and promote fairness in machine learning, Noble has pushed the limits of mobile, web, wearable, and spatial computing applications the human-centered way. ——– Sponsored by: ——– Stream is [More]
More at Aristotle thought that rationality was the faculty that distinguished humans from other animals. However, psychological research shows that our judgments are plagued by systematic, irrational, unconscious errors known as ‘cognitive biases.’ In light of this research, can we really be confident in the superiority of human rationality? How much should we trust our own judgments when we aware of our susceptibility to bias and error? And does our awareness of these biases obligate us to counter them? John and Ken shed their biases with Brian Nosek from the University of Virginia, co-Founder and Executive Director of the Center for Open Science.
One to watch: “Design for Cognitive Bias” by the fabulous @movie_pundit of @thinkcompany. #uxconfcph #ux #ethics #behavioralscience
Today we are joined by Wesley Gray who is the CEO of Alpha Architect, a firm in the US that specializes in concentrated factor strategies. Having completed his MBA and PhD at the University of Chicago – the Harvard of the finance world – Wes is an authoritative voice when it comes to quantitative research and factor investing. Incredibly, he took a 4-year break during his PhD, joined the marines and went to Iraq, and has also written several books. He went from value investor and stock-picker to having a strong quant focus and realized that it was possible to eliminate the human biases while still capturing the factor premiums. Our talk with Wes illuminates the nuanced nature of factor investing, behaviour versus risk-based factor premiums and active management versus passive and indexing. He discusses the process of collecting data for his PhD, the rules according to which they structure portfolios, how their boutique firm differs from larger advisor companies and who their ideal client is. Wes also shares his views on selecting the best quant model, hedge funds, value premiums and market-cap indexing. Join us for another insightful episode! Key Points From This Episode: 3:31 Wesley’s experience as a stock picker and riding the wave of small-cap value; The Value Investors Club as a data source to test stock-picking skills for his PhD. 9:38 From stock picker to a quant and realizing the need to eliminate biases. 14:26 The rules that govern how they build portfolios in his firm [More]
Cognitive Bias Psychology Hindi cognitive Bias hindi psychology hindi psychology lecture hindi IGNOU MAPC lecture hindi 12 Cognitive Biases That Can Impact Search Committee Decisions 1. Anchoring Bias Over-relying on the first piece of information obtained and using it as the baseline for comparison. For example, if the first applicant has an unusually high test score, it might set the bar so high that applicants with more normal scores seem less qualified than they otherwise would. PsychCentral: The Anchoring Effect and How it Impacts Your Everyday Life 2. Availability Bias Making decisions based on immediate information or examples that come to mind. If search committee members hear about a candidate from Georgia who accepted a job and then quit because of the cold weather, they might be more likely to assume that all candidates from the southern U.S. would dislike living in Minnesota. VerywellMind: Availability Heuristic and Making Decisions 3. Bandwagon Effect A person is more likely to go along with a belief if there are many others who hold that belief. Other names for this are “herd mentality” or “group think.” In a search, it may be difficult for minority opinions to be heard if the majority of the group holds a strong contrary view. WiseGEEK: What is a Bandwagon Effect? Psychology Today: The Bandwagon Effect 4. Choice-supportive Bias Once a decision is made, people tend to over-focus on its benefits and minimize its flaws. Search committee members may emphasize rationale that supports decisions they have made in the [More]
Hey guys, I’m starting my machine learning company and in this video I want to touch on what got me started with this and what plans I’ve made. I hope this video is motivational for a lot of you guys who are starting something new, whether it is learning something brand new, switching careers or even starting your own company. I know that there is a huge learning curve ahead and that this will really put me outside of my comfort zone. I’m sure there will to plenty of failures and success (fingers crosses) so it will be great for me to document! To watch all of this, be sure to subscribe! ————————————————————————- LINKS: ————————————————————————– DOWNLOAD Machine Learning Roadmap 2021: ————————————————————————– MORE VIDEOS: ————————————————————————– 📌Top Machine Learning Certifications For 2021 📌Why You Should NOT Learn Machine Learning! 📌How I Learnt Machine Learning In 6 Steps (3 months) 📌How To Learn Machine Learning For Free ————————————————————————– Follow me: ————————————————————————– Subscribe:​​ LinkedIn:​​ Instagram:​​ background music:
AI powered phone automation for small businesses and startups. This video was made for OpenAI Converge. Website: Twitter:
Waabi, an autonomous driving startup led by computer scientist Raquel Urtasun, is staffing up with veteran engineers from competing self-driving tech companies as it prepares to go head-to-head with bigger players, including Alphabet Inc.’s Waymo and TuSimple in the race to commercialize robotic trucking. The Toronto-based company, which initially focused on developing its AI-enabled technology with an advanced driving simulator it developed, is expanding to add a team of hardware engineers to integrate sensors, lidar, vision and computing systems into trucks as it shifts to real-world testing. Led by Eyal Cohen, who was previously with Uber ATG, Otto and Apple’s vehicle program, the Waabi’s new hardware team includes Jorah Wyer, who had worked for robot truck startup Ike, Uber ATG and Apple; and JD Wagner and Paul Spriesterbach, who both previously worked for autonomous tech developer Aurora. “Our goal is to bring self-driving trucks to the world, and trucks are physical so you need a hardware team,” says founder and CEO Urtasun, who’s also a professor of computer science at the University of Toronto. “We will expand to other things like robotaxis or last-mile delivery, but right now Class-8 trucks is where you’re going to see our efforts.” Waabi’s news comes in conjunction with the young company’s debut appearance on Forbes’ AI 50 list of the most promising private companies in North America that are using artificial intelligence to shape the future. (Urtasun also served as a judge for the list in 2021.) The company emerged from stealth in June [More]
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25-Year-Old Alexandr Wang’s $7.3B Data Science Startup, Scale AI, Gives Him a $1B Net Worth Video Host: Michael Sikand👈 Follow Michael⤵️ • TikTok – • Instagram – • LinkedIn – • Twitter – For the best business videos on the Internet, subscribe here ➡… 🔔 Turn on notifications to stay updated with new uploads! #alexandrwang #billionaire #selfmade #youngestselfmadebillionaire #youtubeshorts #shorts LIKE || SHARE || SUBSCRIBE
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One of the best Ai desktop pets I’ve seen to date also please checkout my short channel I made for him, he would be happy if you would subscribe and help him grow shorts channel: if you want to get one for yourself go to: Store #emo #emopet #shorts @EMOPET ROBOT