AI News, The Verge 2018 tech report card: AI artificial intelligence

Artificial Intelligence

[14] 'Facebook is using AI in private messages to suggest an Uber or remind you to pay a friend,' Kurt Wagner, Recode, April 6, 2017, available from  [15] 'Facebook's AI image search can 'see' what's in photos,' Billy Steele, Engadget, February 2, 2017, available from  [16] Please see any of the below as examples: “Movie written by algorithm turns out to be hilarious and intense,” Annalee Newitz, ArsTechnica, June 9, 2016, available from  “What an ‘infinite’ AI-generated podcast can tell us about the future of entertainment,” James Vincent, The Verge, March 11, 2018, available from  “AI can write surprisingly scary and creative horror stories,” Swapna Krishna, Engadget, October 31, 2017, available from  [17] “Disney Research taught AI how to judge short stories,” Rob Lefebvre, Engadget, October 21, 2017, available from  [18] Please see any of the below as examples: “At This Year’s U.S. Open, IBM Wants To Give You All The Insta-Commentary You Need,” Steven Melendez, Fast Company, September 2, 2016, available from

[36] “Google AI experiment has you talking to books,” Mariella Moon, Engadget, April 14, 2018, available from  [37] “Allen Institute for AI Eyes the Future of Scientific Search,” Cade Metz, Wired, November 11, 2016, available from  [38] “Artificial intelligence is going to make it easier than ever to fake images and video,” James Vincent, The Verge, December 20, 2016, available from  [39] “Facebook: Don't freak out about artificial intelligence,” Richard Nieva, CNET, December 1, 2016, available from  [40] “AI will rob companies of the best training tool they have: grunt work,” Sarah Kessler, Quartz, May 11, 2017, available from  [41] “In the AI Age, “Being Smart” Will Mean Something Completely Different,” Ed Hess, Harvard Business Review, June 19, 2017, available from  [42] “Artificial Intelligence’s White Guy Problem,” Kate Crawford, The New York Times, June 25, 2016, available from  and “AI facial analysis demonstrates both racial and gender bias,” Swapna Krishna, Engadget, February 12, 2018, available from  [43] “AI can be sexist and racist — it’s time to make it fair,” James Zhou and Laura Schiebinger, Nature, July 18, 2018, available from  [44] “Google’s parent company is using AI to make the internet safer for LGBT people,” Maria LaMagna, MarketWatch, March 14, 2018, available from  [45] “The Future of AI Depends on High-School Girls,” Lauren Smiley, The Atlantic, May 23, 2018, available from  [46] “Google’s DeepMind Launches Ethics Group to Steer AI,” George Dvorsky, Gizmodo, October 4, 2017, available from  [47] “Why artificial intelligence researchers should be more paranoid,” Tom Simonite, Wired, February 20, 2018, available from  [48] “Tech’s Ethical ‘Dark Side’: Harvard, Stanford and Others Want to Address It,” Natasha Singer, The New York Times, February 12, 2018, available from  [49] “Artificial intelligence doesn’t have to be evil.

AI accelerator

designed as hardware acceleration for artificial intelligence applications, especially artificial neural networks, machine vision and machine learning.

Notable application-specific hardware units include video cards for graphics, sound cards, graphics processing units and digital signal processors.

As deep learning and artificial intelligence workloads rose in prominence in the 2010s, specialized hardware units were developed or adapted from existing products to accelerate these tasks.

In the 1990s, there were also attempts to create parallel high-throughput systems for workstations aimed at various applications, including neural network simulations.[6][7][8]

Heterogeneous computing refers to incorporating a number of specialized processors in a single system, or even a single chip, each optimized for a specific type of task.

have features significantly overlapping with AI accelerators including: support for packed low precision arithmetic, dataflow architecture, and prioritizing 'throughput' over latency.

The mathematical basis of neural networks and image manipulation are similar, embarrassingly parallel tasks involving matrices, leading GPUs to become increasingly used for machine learning tasks.[20][21][22]

In June 2017, IBM researchers announced an architecture in contrast to the von Neumann architecture based on in-memory computing and phase-change memory arrays applied to temporal correlation detection, intending to generalize the approach to heterogeneous computing and massively parallel systems.[43]

In October 2018, IBM researchers announced an architecture based on in-memory processing and modeled on the human brain's synaptic network to accelerate deep neural networks.[44]

As of 2016, the field is still in flux and vendors are pushing their own marketing term for what amounts to an 'AI accelerator', in the hope that their designs and APIs will become the dominant design.

Ethics in AI research papers and articles

No training required: Exploring random encoders for sentence classification (Jan 2019) Uncovering and Mitigating Algorithmic Bias through Learned Latent Structure (Jan 2019) Explaining Models: An Empirical Study of How Explanations Impact Fairness Judgment (1/23/19) Attenuating Bias in Word Vectors (1/23/19) Wikipedia Cultural Diversity Dataset: A Complete Cartography for 300 Language Editions (1/23/19) Identifying and Correcting Label Bias in Machine Learning (1/1/5/19) Actionable Auditing: Investigating the Impact of Publicly Naming Biased Performance Results of Commercial AI Products (Jan 2019) Automation and artificial intelligence: How machines are affecting people and places (1/24/19) Building Ethically Aligned AI (1/23/19) Why AI is failing the next generation of women (1/18/19) Creating AI Systems That Take Culture into Account (1/17/19) Facebook Algorithms and Personal Data (Pew Survey) (1/16/19) Case study: Algorithmic decision-making and accountability (Jan 2019) Singapore Proposed Model Artificial Intelligence Governance Framework (Jan 2019) Artificial Intelligence: American Attitudes and Trends (Jan 2019) Future of work research papers (Jan 2019) ML Integrity: Four Production Pillars For Trustworthy AI (1/29/19) IBM releases Diversity in Faces, a dataset of over 1 million annotations to help reduce facial recognition bias (1/29/19) Being Ethical: How to Beat Bias in AI and Be Transparent (1/28/19) MIT hopes to automatically 'de-bias' face detection AI (1/27/19) Speaking Black Dialect in Courtrooms Can Have Striking Consequences (1/25/19) Bias in, bias out: the Stanford scientist out to make AI less white and male (1/25/19) Amazon Is Pushing Facial Technology That a Study Says Could Be Biased (1/24/19) Quarter of U.S. jobs could be jeopardized by AI, research shows (1/24/19) A.I.

how one man is advancing artificial intelligence (1/13/19) One day your voice will control all your gadgets, and they will control you (1/11/19) How a Google Researcher Is Making AI Easier to Understand (1/10/19) Americans want to regulate AI but don’t trust anyone to do it (1/10/19) Never mind killer robots—here are six real AI dangers to watch out for in 2019 (1/7/19) The Future Of Recruiting In The Age of Automation And Artificial Intelligence (1/4/19) 2019 Is the Year to Stop Talking About Ethics and Start Taking Action (1/4/19) How a Feel-Good AI Story Went Wrong in Flint (1/3/19) New App Helps People Remember Faces (1/1/19) Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making (Dec 2018) Improving fairness in machine learning systems: What do industry practitioners need?

Reductions Approach to Fair Classification (3/6/18) Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making (2/318) AN AI RACE FOR STRATEGIC ADVANTAGE: RHETORIC AND RISKS (February 2018) Transparent Model Distillation (1/26/18) The accuracy, fairness, and limits of predicting recidivism (1/17/18) AI Index 2018 Annual Report (December 2018) AI Narratives Report (12/11/18) The AI Maturity Playbook (12/11/18) Artificial Intelligence and the Future of Humans (Pew Survey) (12/10/18) AI Now 2018 Report (12/6/18) AI Now 2018 Recommendations (12/6/18) Public Attitudes Toward Computer Algorithms (Pew Survey) (11/16/18) Gender, Race and Power: Outlining a New AI Research Agenda (11/15/18) AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations (11/2/18) Portrayals and perceptions of AI and why they matter (Nov 2018) Applying AI for Social Good: McKinsey Report (Nov 2018) Declaration on Ethics and Data Protection in Artificial Intelligence by 40th International Conference of Data Protection and Privacy Commissioners (10/23/18) Big data and AI: Ethical and societal implications (10/16/18) Governing Artificial Intelligence: Upholding Human Rights &

(12/6/18) Facial recognition has to be regulated to protect the public, says AI report (12/6/18) Facial recognition: It’s time for action (12/6/18) AI has a culturally-biased worldview that Google has a plan to change (12/2/18) 10 Fundamental Insights about the Tech-Driven Future for Humanity and why women, POC, and other underrepresented people in tech should lead it (11/29/18) Why AI Needs To Reflect Society (11/29/18) INSTAGRAM WILL USE AI TO DESCRIBE IMAGES FOR VISUALLY IMPAIRED USERS (11/28/18) 10 Most Important AI Research Papers for 2018 (11/27/18) UK police wants AI to stop violent crime before it happens (11/26/18) Tech giants offer empty apologies because users can’t quit (11/26/18) THE DANGEROUS JUNK SCIENCE OF VOCAL RISK ASSESSMENT (11/25/18) How Cheap Labor Drives China’s A.I.

takeaways on the state of AI from Disrupt SF (9/28/18) Senators introduce the ‘Artificial Intelligence in Government Act’ (9/26/18) Taking algorithms to court (9/24/18) Senators are asking whether artificial intelligence could violate US civil rights laws (9/21/18) Artificial intelligence hates the poor and disenfranchised (9/21/18) IBM launches cloud tool to detect AI bias and explain automated decisions (9/19/18) The exploitation, injustice, and waste powering our AI (9/18/18) How AI is already affecting jobs (9/17/18) The Human Promise of the AI Revolution (9/14/18) High Time to Regulate Face Recognition A.I.

(9/12/18) Many voice assistant users have ‘trust issues’ with their device, study claims (9/12/18) Ethics + Data Science (9/10/18) Underneath all the AI hype is the likelihood it threatens the poor, says this former Microsoft and Google exec (9/8/18) Left Unchecked, Artificial Intelligence Can Become Prejudiced All On Its Own (9/7/18) Artificial Intelligence is greater concern than climate change or terrorism, says new head of British Science Association (9/6/18) IBM collaborated with the NYPD on an AI system that can search for people by race (9/6/18) Everyday Ethics for Artificial Intelligence (9/5/18) Don’t believe the algorithm (9/5/18) Silicon Valley Thinks Everyone Feels the Same Six Emotions (9/5/18) California just replaced cash bail with algorithms (9/4/18) The New AI Tech Turning Heads in Video Manipulation (9/3/18) Japan developing ‘pre-crime’ artificial intelligence to predict money laundering and terror attacks (9/1/18) Now is the time to start thinking about AI’s impact on xenophobia (8/28/18) Watson is helping heal America's broken criminal-sentencing system (8/25/18) To Build Trust In Artificial Intelligence, IBM Wants Developers To Prove Their Algorithms Are Fair  (8/22/18) Technologists are trying to fix the “filter bubble” problem that tech helped create (8/22/18) Who needs democracy when you have data?

(6/28/18) When impact measures fail (And what to do about it) (6/26/18) Techstars: AI startups must be wary of ‘move fast and break things’ mantra (6/26/18) Facial recognition software is not ready for use by law enforcement (6/25/18) Unmasking A.I.'s Bias Problem (6/25/18) Bias detectives: the researchers striving to make algorithms fair (6/20/18) The accent gap (7/19/18) Bing researchers develop a novel way of collecting high-quality AI training data (6/18/18) UK report warns DeepMind Health could gain ‘excessive monopoly power’ (6/15/18) A

Tough Week for Tech Workers, and It Won’t Be the Last (6/15/18) Plum uses AI to hire people ‘that never would have been discovered through a traditional hiring process’ (6/13/18) When it Comes to AI and Weapons, the Tech World Needs Philosophers (6/12/18) This tool lets you see–and correct–the bias in an algorithm (6/12/18) Tackling the Ethical Challenges of Slippery Technology (6/11/18) Accenture wants to beat unfair AI with a professional toolkit (6/9/18) Silicon Valley insiders say Facebook, Snapchat, and Twitter are using 'behavioural cocaine' to turn people into addicts (6/5/18) The digital poorhouse (6/4/18) Are you scared yet?

(5/14/18) Algorithms are making the same mistakes assessing credit scores that humans did a century ago (5/14/18) Society needs a reboot for the Fourth Industrial Revolution (5/14/18) Aided by Palantir, the LAPD used predictive policing to monitor specific people and neighborhoods (5/11/18) This company audits algorithms to see how biased they are (5/9/18) Facebook says it has a tool to detect bias in its artificial intelligence (5/3/18) Data Violence and How Bad Engineering Choices Can Damage Society (4/30/18) Revealed: how bookies use AI to keep gamblers hooked (4/30/18) PwC: Lack of trust in AI assistants like Alexa could hinder adoption (4/29/18) It’s time to address the reproducibility crisis in AI (4/24/18) What you need to know about Facebook and ethics (4/19/18) Artificial intelligence must be 'for common good' (4/16/18) When algorithms surprise us (4/13/18) Microsoft has given up 'significant sales' over concerns that the customer will use AI for evil, says a top scientist (4/13/18) Human bias is a huge problem for AI.

Here’s how (9/21/17) Training soft skills into AI technology (9/19/17) AI research is in desperate need of an ethical watchdog (9/18/17) New AI can guess whether you’re gay or straight from a photograph (9/7/17) How to regulate artificial intelligence (9/1/17) Turns out Algorithms are racist (8/31/17) New app scans your face and tells companies whether you’re worth hiring (8/25/17) Machines taught by photos learn a biased view of women (8/21/17) AI’s biggest challenge is human, not technological.

Amazon sets conference on robotics, artificial intelligence

announced plans Thursday to hold a conference open to the public on robotics, space and artificial intelligence, as well as to discuss future applications of emerging technologies.

He said the event would bring together 'leaders and builders from diverse areas to share learnings and spark new ideas for future innovation.'

'Some of this work is highly visible, such as autonomous Prime Air delivery drones, eliminating checkout lines at Amazon Go and making everyday life more convenient for customers with Alexa.

'But much of what we do with AI and ML happens beneath the surface -- from the speed in which we deliver packages, to the broad selection and low prices we're able to offer customers, to automatic extraction of characters and places from books and videos.'

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