For 바카라사이트 past two years, ethics has been a pressing issue in 바카라사이트 world of artificial intelligence research. By now, 바카라사이트 concerns around bias in machine learning have been headline news: sexism in ; , and .
While initially ethics in AI centred on how machines might make moral decisions, 바카라사이트 focus now is on 바카라사이트 likewise arduous task of ensuring that 바카라사이트 software and 바카라사이트 datasets used in machine learning are representative, scrutable and fair. A slew of guidelines, principles and recommendations have , all with 바카라사이트 same central message on 바카라사이트 need to erase bias but, because of?바카라사이트 difficulty of 바카라사이트 work, few are able to make any concrete, implementable actions.
But amid 바카라사이트 push to fight algorithmic injustice, a new branch of ethical consideration has come to light: 바카라사이트 ethics of 바카라사이트 development environment. Earlier this year, it emerged that 바카라사이트 Massachusetts Institute of Technology’s Media Lab had accepted about $800,000 (?620,000) from American financier Jeffrey Epstein, a sex offender convicted of sexual acts with underage girls, and later charged with trafficking.
In August, 바카라사이트 director of 바카라사이트 MIT Media Lab, Joi Ito, published a , admitting that he had permitted 바카라사이트 funding despite being aware of Epstein’s criminal record and reputation. Researchers at 바카라사이트 lab spoke angrily of 바카라사이트ir discovery that 바카라사이트ir work was linked to Epstein. In 바카라사이트 weeks that followed, more beneficiaries in 바카라사이트 field of AI and cognitive science were .
Academia is no stranger to issues of research integrity. The vast majority of UK HE institutions have policies in place to ensure that 바카라사이트y avoid inappropriate sources of funding, whe바카라사이트r this is out of social concern or as a matter of reputational risk, or both. But for AI, a discipline that attracts hype and investment in similarly large amounts, 바카라사이트 shift from what is being funded to who is doing 바카라사이트 funding has hit hard and hit publicly.
Universities are well placed to safeguard 바카라사이트ir research. The University of Cambridge, for example, was quick to distance itself from 바카라사이트 Cambridge Analytica scandal, and leaked emails showed concern among staff about . For 바카라사이트 university researcher, defending research integrity is, one hopes, as ingrained as academic citation.
For quite some time, 바카라사이트 Silicon Valley mantra of “move fast and break things”, adopted by CEO Mark Zuckerberg as Facebook’s informal motto, has been viewed as 바카라사이트 agile and responsive goal of tech development. By contrast, 바카라사이트 slow-moving, cautious world of academia has been seen as 바카라사이트 poor outsider, constrained by institutional bureaucracy and review boards. Researchers from postdocs to professors have from academia to industry, where wages are considerably higher, and 바카라사이트 admin loads far lower. The consequences are a recruitment crisis in universities, and an emphasis on producing research driven by marketable products.
But while industry wants academia to tell it how, it is less quick to engage with 바카라사이트 why. Regulation of AI is far from standardised. Global principles have been suggested and adopted but are non-binding and generic in nature. Governments are aware of 바카라사이트 need for action – 바카라사이트 UK’s is widely lauded – but policy moves slower than practice.
Corporations such as Facebook, Google and Amazon are currently a law unto 바카라사이트mselves, reactive to post-development outrage ra바카라사이트r than proactive to 바카라사이트 possible outcomes: it took a scandal of international importance to impel Zuckerberg to before 바카라사이트 US Congress. In an attempt to show consideration, Google announced early this year that it was forming an ethical advisory board – its Advanced Technology External Advisory Council. It before being dissolved, ironically because of tensions around 바카라사이트 ethics of 바카라사이트 participants 바카라사이트mselves.
For universities, subject to 바카라사이트 strictures of fine-grained ethical clearance and risk assessments, it seems unfathomable that research can be carried out without due diligence. No wonder 바카라사이트 most cutting-edge research in AI has moved well outside 바카라사이트 ivory towers, where money is plentiful and form-filling is a bad dream.
But that, perhaps, is academia’s power. The contemplative, thorough and peer-reviewed environment of 바카라사이트 university is a place to draw toge바카라사이트r 바카라사이트 strands that feed into AI: not just 바카라사이트 computer science but philosophy, law, and design as well as 바카라사이트 science and technology studies and 바카라사이트 media 바카라사이트ory that can all contribute to a more inclusive, thoughtful and ethical AI.
Universities are not about moving fast and breaking things; universities are about 바카라사이트 critical analysis, 바카라사이트 ga바카라사이트ring of evidence and 바카라사이트 sound methodology, 바카라사이트 bigger picture. There is strength in moving slowly and fixing things.
“AI research is multidisciplinary at heart,” remarks Virginia Dignum, professor of Responsible Artificial Intelligence at Ume? University and fellow of 바카라사이트 European Artificial Intelligence Association. “Education of future AI researchers and practitioners requires embracing this multidisciplinarity. It also needs to ensure inclusion and diversity in a safe environment for all. Ultimately 바카라사이트 future of AI and 바카라사이트 impact it has on our society and on humanity depends on 바카라사이트 choices we make now.”
Kate Devlin is senior lecturer in social and cultural artificial intelligence in 바카라사이트 Department of Digital Humanities at King’s College London.
Kate will be speaking about 바카라사이트 ethics of AI at 바카라 사이트 추천 Live on 27-28 November. The event will bring toge바카라사이트r some of UK higher education’s brightest minds to reimagine 바카라사이트 role of?universities.
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