One of the most time freeing things you can do for yourself is automate your repetitive, low-skill and mundane tasks. For both your business life and your personal life, automation has the potential to set you free. Automate social posts.  Automate your chores with a robotic vacuum.  Yard work, testing our code, brewing our coffee, our finances and our ad targeting.  All of these things can be automated, freeing up a bunch of your time. This has taken some jobs away from some people, but no one has really seemed to mind since they’re “just repetitive tasks” that most people don’t really need to do. AI will do more on all fronts.  Much more. Many jobs will be lost in the name of freeing humanity from the chains of time based labor, and it won’t just be entry-level, manual “grunt” work. Driving, legal work, medical diagnostics and surgery aren’t low-level work.  For the most part, they’re top-tier, expert level tasks that can only be done by true professionals.  They require years of special training for a person to master. But not AI. AI can learn and, in most cases, out perform humans on these once “safe from computers” jobs.  But […]

Technology keeps creating challenges for intellectual property law. The infamous case of the "monkey selfie" challenged the notion of not just who owns a piece of intellectual property, but what constitutes a "who" in the first place. Last decade's semi-sentient monkey is giving way to a new "who": artificial intelligence. The rapid rise of AI has forced the legal field to ask difficult questions about whether an AI can hold a patent at all, how existing IP and patent laws can address the unique challenges that AI presents, and what challenges remain. The answers to these questions are not trivial; stakeholders have poured billions upon billions of dollars into researching and developing AI technologies and AI-powered products and services across academia, government, and industry.

Every day we are likely to interact with some form of artificial intelligence (AI). It works behind the scenes in everything from social media and traffic navigation apps to product recommendations and virtual assistants. AI systems can perform tasks or make predictions, recommendations or decisions that would usually require human intelligence. Their objectives are set by humans but the systems act without explicit human instructions. As AI plays a greater role in our lives both at work and at home, questions arise.

In an ideal world, the Supreme Court would provide stability in the run-up to a presidential election, imposing uniform rules based on long-accepted principles of election law. We do not live in that world. One week out from the 2020 election, four Supreme Court justices have launched a scorched-earth mission against voting rights. They teed up a Bush v. Gore reprise that could hand Donald Trump an unearned victory. These justices are in open revolt against voting rights, abandoning the pretense of "voter fraud" and embracing state legislatures' right to disenfranchise their constituents.

Apple may be stealthily developing its own search engine, as Google faces a lawsuit from the U.S. antitrust authorities regarding the search engine giant's agreements with companies to be the default search tool. In the newest operating system update for the iPhone, the iOS 14, Apple has started showing its own search results and direct links to websites when users search from their home screen. In its updated version, iOS 14 does not use Google for many of its search functions, as it previously used to. The search window that appears in iPhones when users swipe right now compiles Apple-generated search suggestions rather than Google results. Earlier this week, the U.S. Department of Justice, in a landmark lawsuit said, Google is monopolizing the search space by entering into multi-billion dollar deals with mobile companies like Apple, Motorola, and network carriers like AT&T and Verizon, to be the default search engine on devices.

Google has had an eventful couple of weeks, announcing enhancements to its search and map capabilities at its virtual "Search On" event on Oct. 15, and on Oct. 20 being accused by the US Justice Department of engaging in anti-competitive practices in order to preserve its search engine business. At the Search On event, Google detailed how it has tapped AI and machine learning techniques to make improvements to Google Maps as well as Search. In an expansion of its search "busyness metrics," users will be able to see how busy locations are without identifying the specific beach, grocery store, pharmacy or other location. COVID-19 safety information will also be added to business profiles across Search and Maps, indicating whether the business is using safety precautions such as temperature checks or plexiglass shields, according to an account in VentureBeat. An improvement to the algorithm beneath the "Did you mean?" features of search, will enable more accurate and precise spelling suggestions.

For police, prosecuting attorneys, criminologists, and forensic scientists alike, emerging technologies will almost certainly revolutionize the future of forensic science, making the capture and conviction of criminals increasingly likely. These technologies can help investigators in missing persons cases, cold cases, sexual assault cases, and murder cases. Although potential dangers related to personal privacy have caused controversy about the use of these technologies, it seems clear that these ten cutting-edge innovations in the future of forensic science also promise enormous benefits to authorities, victims, victims' families, and society in general. In addition, people's faces change over time, and donning a pair of sunglasses or growing a beard can prevent the technology from making a match between the photos. Videos, which offer a series of images, should, in theory, provide a better chance for forensic science to identify a suspect, but that doesn't always happen, as the case of the Boston Marathon bombing proves: In a test of three facial recognition systems, only one identified Dzhokhar Tsarnaev, and none of them recognized Tamerlan Tsarnaev, who wore sunglasses.

In the late 19th and early 20th centuries, Charles Henry Turner (1867–1923) established a research program that was in sharp contrast to prevailing ideas regarding animal behavior and cognition. Despite facing almost insurmountable barriers because of his African American ethnicity, he published more than 70 papers, including several in Science ([ 1 ][1]–[ 3 ][2]), on comparative brain anatomy in birds and invertebrates, individual variation of behavior and learning competences, and intelligent problem-solving in a large variety of animals, at a time when the dominant ideas only credited animals with the simplest of learning abilities. But his discoveries and conceptual advances failed to gain the recognition they deserved, and his works were later all but forgotten—indeed, some recent animal cognition research has reinvented wheels that had already been fashioned by Turner. Charles Darwin (1809–1882) and George Romanes (1848–1894) were famously generous in attributing intelligent behavior and mental abilities to animals, but their musings were largely based on observation and inference. The predominant experimentalist theories of animal behavior in the early 20th century, however, largely rejected notions of advanced animal intelligence or insight. Early ethologists such as Oskar Heinroth, Charles Whitman, and Wallace Craig focused instead on innate behavior and imprinting, a simple form of learning. Where problem-solving was observed, such as when animals open puzzle boxes, behaviorists such as Edward Thorndike proposed that this materialized as a result of trial and error, not insight or understanding of the nature of the challenge. None of these scientists were interested in individual variation of behavior. Enter Charles H. Turner, who took seriously Darwin's assertion of the importance of individual variation as well as the idea that humans were not the only intelligent animal species. But Turner backed up this possibility with a rigorous experimental approach. Turner was born just 2 years after the end of slavery in the United States in 1865. He obtained his M.Sc. from the University of Cincinnati in 1892 ([ 4 ][3]). In the same year, the 25-year-old published two single-author papers in Science —one of which was a short version of his B.Sc. work on the comparative anatomy of bird brains, whose relative size and complexity he compared with those of reptiles ([ 1 ][1]). Turner's verdict was, “When we compare the brain of a crow or a titmouse with the brain of a snake or a turtle, it is no longer a marvel that birds bear towards their reptilian cousins the relation of intellectual giants to intellectual dwarfs” [([ 1 ][1]), p. 16]. The same year also saw the publication of another remarkable study on variations in web building by gallery spiders ([ 5 ][4]) that contained key ingredients of Turner's distinct interpretation of animal behavior that was to accompany his entire body of work. Like many of his future papers, the study interfaces careful field observations with meticulously controlled laboratory work. Contrary to the still-popular view that spider web construction is a prime example of invertebrates' robotic, repetitive action patterns, Turner reported variation between individuals in adapting their construction to the geometry of available space and the functionality in capturing prey: “we may safely conclude that an instinctive impulse prompts gallery spiders to weave gallery webs, but the details of the construction are the products of intelligent action” [([ 5 ][4]), p. 110]. In the year of his Ph.D. (1907), Turner published on associative and spatial learning in ants and reported individual learning curves of their performance ([ 6 ][5]). Turner's focus on individual differences in behavior is a constant theme in his studies. It is deplorable that the now-popular field of “animal personality” has taken so little notice of Turner's trailblazing approach. The list of Turner's discoveries and insights that should have garnered attention, but did not, is long. Every student of animal behavior knows Nikolaas Tinbergen's study from 1932 on spatial learning, in which the later Nobel laureate (awarded for studies of individual and social behavior in animals) first marked a beewolf 's nest entrance with pine cones, then moved them to demonstrate that the insect was guided by a memory of the landmarks ([ 7 ][6]). But it is mostly unknown that Turner had already published similar findings in 1908, observing a solitary burrowing bee whose nest entrance was close to a discarded Coca Cola bottle cap. When the cap was moved to a nearby location next to an artificial burrow that Turner had made, the bee crawled into that burrow without hesitation—indicating, just as in Tinbergen's experiments, that the insect had a memory for landmarks rather than, for example, being guided by an instinct to follow the scent of the nest ([ 8 ][7]). In 1912, in a study that explored how a prey-carrying walking wasp finds its way home around obstacles in the path, Turner explicitly confronted Thorndike, affirming that the wasp's behavior is not explicable by trial-and-error learning and is instead consistent with a form of intentionality and an awareness of the desired outcome of the wasp's actions ([ 9 ][8]). Moreover, Turner found that an ant stuck on a small island began assembling a bridge to the “mainland,” using three different materials ([ 10 ][9]). The ant's behavior could not easily be explained by then-popular notions of instinct or trial-and-error learning; instead, the ant appeared to appreciate the nature of the problem, imagined a solution, and then worked toward this goal. The view that animals are capable of insightful problem-solving was also apparent in Turner's interpretation of his field observations of the hunting behavior of a snake pursuing a lizard ([ 3 ][2]). The lizard had escaped up a tree and looked downward where it expected the snake to launch the next attack. The snake, which had been pursuing the lizard for some time, instead ascended another tree, crossed over when it had reached a point higher than the lizard, and then attacked from behind. These observations are reminiscent of the detour behavior seen when jumping spiders hunt—discovered in the 1990s ([ 11 ][10]). It is remarkable that Turner's views on animal intentionality preceded present-day explorations of the same topic by a century. Even though his experimental work was known to contemporary giants such as John Watson and Thorndike ([ 4 ][3]) and across the Atlantic by later Nobel laureate Karl von Frisch, Turner's visionary ideas about animal intelligence did not resonate in the field; perhaps they were simply too far ahead of the time. Accordingly, they are almost completely unrecognized in the current literature. Further highlighting the importance and insightful nature of Turner's work, in 1913 he reported on the effects of age and sex on cockroaches trained to navigate mazes ([ 12 ][11]). Turner found that individuals placed an emphasis on either speed or accuracy: Older cockroaches choose slowly but more precisely. Extraordinarily, Turner suggests that the hesitation that cockroaches display when evaluating their options bears the hallmarks of will, a facet of consciousness. The question of whether humans and other animals exhibit free will continues to generate controversy among neuroscientists and philosophers. That insights from insect behavior could contribute to this debate has only recently been suggested again by neuroscientist Martin Heisenberg ([ 13 ][12]), who proposed that insects display an awareness of the consequences of their actions and evidence of free will in deciding between options. ![Figure][13] From Charles H. Turner to comparative cognition: 1850–2020 Charles H. Turner made important observations about animal cognition, which went against the leading paradigms of the time. His ideas have stood the test of history, but Turner's work has largely been forgotten, likely because his ethnicity prevented him from becoming a research team leader and so he could not train scientists who might have continued his approach. Turner was active in the U.S. civil rights movement and advocated that education is key to overcoming ethnic barriers in society. GRAPHIC: V. ALTOUNIAN/ SCIENCE ; (IMAGES, CLOCKWISE FROM LEFT) WIKIMEDIA COMMONS;C. H. TURNER ET AL. ([ 12 ][11]); ST. LOUIS GLOBE-DEMOCRAT , 3 JULY 1917, P. 1 Why is Turner not more widely credited as a major luminary in research on animal intelligence? Turner faced substantial obstacles because of his ethnicity. Despite publishing many important papers, he was not given a post at a major U.S. research university. Turner's work was thus conducted without access to state-of-the-art laboratory facilities or library resources. One reason for Turner's relative obscurity today may be that he had no possibility of mentoring research students who would have carried his ideas into subsequent generations. For comparison, Russian Nobel laureate Ivan Pavlov (1849–1936), famed for his studies on classical conditioning, trained more than 140 co-workers. One cannot help but wonder what Turner might have achieved if he had had comparable resources and manpower. The entire field of animal cognition may have developed differently. Would a “cognitive revolution” have been needed against the dominant ideas of behaviorism that ruled psychology for the first half of the 20th century (postulating that learning largely happens in the form of simple associations), if Turner's ideas about advanced cognition in animals had generated a movement at the time he expressed them? African American historian William Du Bois (1868–1963) lamented that “C. H. Turner, one of the great world authorities on insects, nearly entered the faculty of Chicago University; but the head professor who called him died, and his successor would not have a “N\---|--,” despite a reputation which was European; Turner died in a high school of neglect and overwork” [([ 4 ][3]), p. 348]. The institution at which Turner taught from 1908 to 1922 was Sumner High School, a school for African American children in St. Louis. During his time there, he and his pupils would have witnessed the East St. Louis massacre in 1917, during which white mobs murdered more than 100 African Americans; another 6000 lost their homes as a result of arson attacks on their neighborhoods ([ 14 ][14]). Turner was active in the U.S. civil rights movement, and years before coming to St. Louis, he wrote that an emphasis on high-quality education and a conscious effort to abandon prejudices might eliminate barriers between Blacks and whites within a few decades ([ 15 ][15]). One would hope that nowadays, a person of Turner's caliber might not face similar adversity in terms of academic employment opportunities or long-term recognition of their contribution to science. But even today, very few scholars in animal cognition, or indeed across biology, are Black. Turner clearly recognized the importance of ethnic-minority role models from the earliest stages of education; their near-complete absence in a field of scholarly study will require concerted counterefforts. Funded summer schools for ethnic minority students can also make a substantial difference to inspire budding scientists. Institutions must make still-stronger efforts to eliminate biases in hiring, promotions, and salary decisions and to celebrate the successes of ethnic minority scholars. Even where they do (and there is likely plenty of room for improvement), overt or poorly concealed racism is still commonly experienced by underrepresented ethnic groups, even in academia. This will likely discourage many aspiring scientists from venturing further. A hopeful development is that some conference organizers are taking steps in the right direction to increase inclusivity; for example, the Animal Behavior Society annually supplies the Charles H. Turner award that prioritizes traditionally underrepresented groups for conference travel funding. More than ever, humanity needs to be inclusive to confront current and future challenges. Diversity increases the pool of talent and, as Turner's example shows, has the potential to transform entire fields. 1. [↵][16]1. C. H. Turner , Science 19, 16 (1892). [OpenUrl][17][CrossRef][18][PubMed][19] 2. 1. C. H. Turner , Science 20, 39 (1892). [OpenUrl][20] 3. [↵][21]1. C. H. Turner , Science 30, 563 (1909). [OpenUrl][22][FREE Full Text][23] 4. [↵][24]1. C. I. Abramson , Annu. Rev. Entomol. 54, 343 (2009). [OpenUrl][25][CrossRef][26][PubMed][27] 5. [↵][28]1. C. H. Turner , J. Comp. Neurol. 2, 95 (1892). [OpenUrl][29] 6. [↵][30]1. C. H. Turner , J. Comp. Neurol. Psychol. 17, 367 (1907). [OpenUrl][31] 7. [↵][32]1. N. Tinbergen , J. Comp. Physiol. A Neuroethol. Sens. Neural Behav. Physiol. 16, 305 (1932). [OpenUrl][33] 8. [↵][34]1. C. H. Turner , Biol. Bull. 15, 247 (1908). [OpenUrl][35] 9. [↵][36]1. C. H. Turner , Psyche 19, 100 (1912). [OpenUrl][37] 10. [↵][38]1. C. H. Turner , Biol. Bull. 13, 333 (1907). [OpenUrl][39][CrossRef][40] 11. [↵][41]1. M. S. Tarsitano, 2. R. R. Jackson , Behaviour 131, 65 (1994). [OpenUrl][42][CrossRef][43] 12. [↵][44]1. C. H. Turner , Biol. Bull. 25, 348 (1913). [OpenUrl][45] 13. [↵][46]1. M. Heisenberg , Nature 459, 164 (2009). [OpenUrl][47][CrossRef][48][PubMed][49][Web of Science][50] 14. [↵][51]1. J. N. Harrington , Buzzing with Questions: The Inquisitive Mind of Charles Henry Turner (Boyds Mills Press, 2019). 15. [↵][52]1. C. H. Turner , in Twentieth Century Negro Literature (J. L. Nichols, 1902), pp. 162–166. 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Artificial intelligence-based tools continue to be used by only a very small percentage of law firms, according to the ABA's 2020 Legal Technology Survey Report this month. Just 7% of respondents to the ABA Legal Technology Resource Center's survey reported that their firms use AI tech tools, a decrease of one percentage point from a year ago. Meanwhile, 23% of respondents said their firms were not interested in purchasing AI-based tools and nearly 34% said they did not know enough about AI to answer the question regarding their firms current or planned usage of such tools. Alexander Paykin, a Legal Technology Resource Center board member, says he thinks the legal industry has been slow to adopt AI-based tools because the available products have yet to demonstrate they can consistently produce the results vendors promise. He points to his experience with the AI-based legal research offerings he has tried out in recent years to back up his point.

Hungarian public prosecutors have followed a recommendation from the European Anti-Fraud Office (OLAF) and opened proceedings against individuals accused of illegally overcharging for the renovation of children's playgrounds using EU money. Prosecutors are calling for prison sentences for the fraudsters, who illegally pocketed more than €1.7 million in European and Hungarian funding. OLAF Director General Ville Itälä said: "I welcome the decision by the Hungarian authorities to bring proceedings against the fraudsters investigated by OLAF, in line with our initial recommendations. This was a clear case of fraud against EU and Hungarian taxpayer money, and it is good to see that the Hungarian prosecutors agree with this assessment. This case is a prime example of how OLAF and national judicial authorities work together to take on the fraudsters to ensure that every euro of European funding is spent as and where it should be. This kind of investigation is at the heart of what OLAF does and I am delighted that our collaboration with the Hungarian authorities in this case has led to such a positive outcome."