In 2022 we saw big movements in the robotics industry, from high-profile lawsuits to big acquisitions to exciting new robots and deployments, there was no shortage of news to cover this year. Here are the top 10 most popular stories on The Robot Report in 2022. Subscribe to The Robot Report Newsletter or listen to The Robot Report Podcast to stay updated on the robotics stories you need to know about. Early this year, Amazon unveiled its first-ever autonomous mobile robot (AMR) Proteus. The company first entered the mobile robot space in 2012, when it acquired Kiva Systems for $775 million.

Pseudo Artificial Intelligence bias (PAIB) is broadly disseminated in the literature, which can result in unnecessary AI fear in society, exacerbate the enduring inequities and disparities in access to and sharing the benefits of AI applications, and waste social capital invested in AI research. This study systematically reviews publications in the literature to present three types of PAIBs identified due to: a) misunderstandings, b) pseudo mechanical bias, and c) over-expectations. We discussed the consequences of and solutions to PAIBs, including certifying users for AI applications to mitigate AI fears, providing customized user guidance for AI applications, and developing systematic approaches to monitor bias. We concluded that PAIB due to misunderstandings, pseudo mechanical bias, and over-expectations of algorithmic predictions is socially harmful.

I became interested in data analysis/science by way of a Geographic Information Systems (GIS) course during my Environmental Policy and Sustainability Management Master's at The New School.

Generative AI is coming for videos. A new website, QuickVid, combines several generative AI systems into a single tool for automatically creating short-form YouTube, Instagram, TikTok and Snapchat videos. Given as little as a single word, QuickVid chooses a background video from a library, writes a script and keywords, overlays images generated by DALL-E 2 and adds a synthetic voiceover and background music from YouTube's royalty-free music library. QuickVid's creator, Daniel Habib, says that he's building the service to help creators meet the "ever-growing" demand from their fans. "By providing creators with tools to quickly and easily produce quality content, QuickVid helps creators increase their content output, reducing the risk of burnout," Habib told TechCrunch in an email interview.

This year was a year of AI; I believe that a lot of industries won't be the same thanks to all the AI-generated content floating out there.

"This year, the big milestone was having the board open its doors and start accepting claims," Perlmutter said, adding that board decisions will start coming in the next year. Though it is "still early days" and it remains unclear what the standard volume of claims will be, Perlmutter said she is "extremely impressed" with how well the board is doing. It's received over 260 cases so far. She added that several of the cases have been dismissed. The office believes that means they've been settled, which would adhere to the alternative dispute resolution mechanism of the board, she said. "We set up this totally new tribunal in really record time. I think most other agencies who have seen what we've done can't understand how we managed that in under a year and a half, because it required a lot of work," she said.

It's been another interesting year in the world of artificial intelligence. We've seen large language models grow even larger, conferences returning to physical events, a raft of new policy developments, and machine learning techniques applied across the arts. Buckle up and join us for the ride as we review the year just gone. Research into both fundamental and applied aspects of artificial intelligence and machine learning continues apace. Yue Ma and colleagues used machine-learning techniques to identify antimicrobial peptides encoded by the genome sequences of microbes in the human gut.

Since ChatGPT's launch last month, the newest chatbot model from artificial intelligence research non-profit OpenAI has been touted as "sophisticated" and even "magical." The chatbot is a major stepping stone in generative AI, and likely has significant practical uses for legal professionals. But what do lawyers need to know about it before they can harness its potential? Most attorneys who responded to Bloomberg Law's most recent Legal Ops & Tech Survey feel that harnessing legal tech is important to meet the demands of their clients. However, advanced AI models such as ChatGPT come with challenges that many attorneys likely don't know about or haven't thoroughly considered.

Ethical AI will need careful planting of many ecosystems. Ethical AI has been a concern of AI leaders, and practitioners for many years, but finally it seems, global jurisdictions are starting to move from policy formulation and stakeholder engagement to putting some teeth into drafting legal bills or acts. Expect many new laws to pass in 2023, tightening up citizen privacy and creating risk frameworks and audit requirements for data bias, privacy and security risks. At the same time, regulators are going to have to evolve an entire global ecosystem to ensure AI audits are effectively conducted and many questions loom as to who will validate certifications for AI audit practices and will we over burden AI innovations like we have done in so many other regulated operating practices that the risk and costs of non-conformance inhibit's innovation and capital funding? Finding a balance will be key.

Given the wealth inequality worldwide, there is an urgent need to identify the mode of wealth exchange through which it arises. To address the research gap regarding models that combine equivalent exchange and redistribution, this study compares an equivalent market exchange with redistribution based on power centers and a nonequivalent exchange with mutual aid using the Polanyi, Graeber, and Karatani modes of exchange. Two new exchange models based on multi-agent interactions are reconstructed following an econophysics approach for evaluating the Gini index (inequality) and total exchange (economic flow). Exchange simulations indicate that the evaluation parameter of the total exchange divided by the Gini index can be expressed by the same saturated curvilinear approximate equation using the wealth transfer rate and time period of redistribution and the surplus contribution rate of the wealthy and the saving rate. However, considering the coercion of taxes and its associated costs and independence based on the morality of mutual aid, a nonequivalent exchange without return obligation is preferred. This is oriented toward Graeber's baseline communism and Karatani's mode of exchange D, with implications for alternatives to the capitalist economy.