Enhancing Chess Fairness: The Impact of Rearranging Game Pieces

Innovative Chess Rules: Enhancing Complexity

Image Credit: Richard Levine/Alamy

Chess can be significantly enhanced by rearranging the starting pieces, creating a more challenging or equitable game, as discovered by physicists.

In traditional chess, the pieces initiate the game symmetrically, with rooks, knights, and bishops positioned on the board’s edges, while kings and queens are centrally located. This fixed setup enables elite players to memorize optimal opening moves, potentially leading to predictable and uninspiring matches.

In the 1990s, the renowned chess grandmaster Bobby Fischer proposed an innovative variation to mitigate this reliance on memory. This variation, which effectively randomizes the starting positions of the seven pieces behind the board, allows for a fair arrangement between the white and black pieces, under the rule that bishops, rooks, and kings maintain relative positions. Known as Chess960 due to its 960 possible starting positions, this format has recently gained immense popularity, drawing players like former world champion Magnus Carlsen to competitive events.

Although Chess960 appears equitable due to its randomness, Marc Barthelemy from The University of Paris-Saclay has revealed that this perceived fairness is deceptive after analyzing all possible configurations.

Typically, the white pieces, who commence the game, hold a slight edge in standard chess. Barthelemy’s analysis indicates that while certain Chess960 setups may greatly favor white, others could advantage black. “Not all positions are equal,” he explains.

To arrive at these findings, Barthelemy utilized Stockfish, an open-source chess engine, to evaluate each starting position’s complexity based on how challenging it was for both players to determine their next moves. By comparing the ease with which the best move could be identified, he assessed the complexity of each configuration. If finding the best move was straightforward, the player encountered minimal decision-making challenges. However, if both players faced comparable difficulties, the decision-making process became increasingly complex.

His research identified the starting position BNRQKBNR as the most complex, while QNBRKBNR offered a balanced challenge for both players. Such insights could assist tournament organizers in ensuring fairer matchups, Barthelemy notes.

Conversely, Vito Servedio from Austria’s Complexity Science Hub argues that randomness inherently provides fairness, and favoring specific Chess960 arrangements over others may lead players to prepare excessively. “It’s more equitable as players start on an equal footing,” Servedio asserts. “Grandmasters have deep knowledge of standard chess openings, but cannot prepare for every potential Chess960 setup.”

Barthelemy also discovered that the standard chess setup is relatively unremarkable regarding fairness and complexity in comparison to many of the other existing positions. “Surprisingly, the standard chess arrangement is not particularly striking,” Barthelemy observes. “It lacks balance and asymmetry, sitting rather centrally in the spectrum of positions. The reasoning for this historical choice remains unclear.”

“In a vast array of positions, it stands in the middle,” Servedio remarks. “Is it purely coincidental? I cannot say.”

Barthelemy notes that measuring complexity is not the sole method for evaluating chess game difficulty. Giordano De Marso from the University of Konstanz comments that the true challenge of a position often lies in having a singular move to identify, rather than choosing the best among several options.

De Marso expresses uncertainty regarding whether Barthelemy’s higher complexity scores correlate with players perceiving games as more difficult but suspects they do. “If increased positional complexity leads to longer deliberation times, it strengthens the case for this measurement,” he concludes.

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Source: www.newscientist.com

Major Direct Action on Actor Image Use in AI Content Poses Fairness Concerns

The performing arts union Equity has issued a warning of significant direct action against tech and entertainment firms regarding the unauthorized use of its members’ likenesses, images, and voices in AI-generated content.

This alert arises as more members express concerns over copyright violations and the inappropriate use of personal data within AI materials.

General Secretary Paul W. Fleming stated that the union intends to organize mass data requests, compelling companies to reveal whether they have utilized members’ data for AI-generated content without obtaining proper consent.

Recently, the union declared its support for a Scottish actor who alleges that his likeness contributed to the creation of Tilly Norwood, an “AI actor” criticized by the film industry.

Bryony Monroe, 28, from East Renfrewshire, believes her image was used to create a digital character by the AI “talent studio” Xicoia, though Xicoia has denied her claims.

Most complaints received by Equity relate to AI-generated voice replicas.

Mr. Fleming mentioned that the union is already assisting members in making subject access requests against producers and tech firms that fail to provide satisfactory explanations about the sources of data used for AI content creation.

He noted, “Companies are beginning to engage in very aggressive discussions about compensation and usage. The industry must exercise caution, as this is far from over.”

“AI companies must recognize that we will be submitting access requests en masse. They have a legal obligation to respond. If a member reasonably suspects their data is being utilized without permission, we aim to uncover that.”

Fleming expressed hope that this strategy will pressure tech companies and producers resisting transparency to reach an agreement on performers’ rights.

“Our goal is to leverage individual rights to hinder technology companies and producers from binding collective rights,” Fleming explained.

He emphasized that with 50,000 members, a significant number of requests for access would complicate matters for companies unwilling to negotiate.

Under data protection laws, individuals have the right to request all information held about them by an organization, which typically responds within a month.

“This isn’t a perfect solution,” Fleming added. “It’s no simple task since they might source data elsewhere. Many actors are behaving recklessly and unethically.”

Ms. Monroe believes that Norwood not only mimics her image but also her mannerisms.

Monroe remarked, “I have a distinct way of moving my head while acting. I recognized that in the closing seconds of Tilly’s showreel, where she mirrored exactly that. Others observed, ‘That’s your mannerism. That’s your acting style.'”

Liam Budd, director of recorded media industries at Equity UK, confirmed that the union takes Mr. Monroe’s concerns seriously. Particle 6, the AI production company behind Xicoia, claimed it is collaborating with unions to address any concerns raised.

A spokesperson from Particle 6 stated, ‘Bryony Monroe’s likeness, image, voice, and personal data were not utilized in any way to create Tilly Norwood.’

“Tilly was developed entirely from original creative designs. We do not, and will not, use performers’ likenesses without their explicit consent and proper compensation.”

Budd refrained from commenting on Monroe’s allegations but said, “Our members increasingly report specific infringements concerning their image or voice being used without consent to produce content that resembles them.”

“This practice is particularly prevalent in audio, as creating a digital audio replica requires less effort.”

However, Budd acknowledged that Norwood presents a new challenge for the industry, as “we have yet to encounter a fully synthetic actor before.”

Equity UK has been negotiating with UK production industry body Pact (Film and TV Producers Alliance) regarding AI, copyright, and data protection for over a year.

Fleming mentioned, “Executives are not questioning where their data originates. They privately concede that employing AI ethically is nearly impossible, as they are collecting and training on data with dubious provenance.”

“Yet, we frequently discover that it is being utilized entirely outside established copyright and data protection frameworks.”

Max Rumney, deputy chief executive of Pact, highlighted that its members must adopt AI technology in production or risk falling behind companies without collective agreements that ensure fair compensation for actors, writers, and other creators.

However, he noted a lack of transparency from tech firms regarding the content and data used for training the foundational models of AI tools like image generators.

“The fundamental models were trained on our members’ films and programming without their consent,” Rumney stated.

“Our members favor genuine human creativity in their films and shows, valuing this aspect as the hallmark of British productions, making them unique and innovative.”

Source: www.theguardian.com