Ilħna mill-imgħoddi

reel-to-reel machine in motion

Biex taqra l-artiklu bl-Ingliż, agħfas hawn.

Kaxxi fuq kaxxi, miksijin bl-għabra, jistennew is-sekondiera tagħmel ir-ronda tagħha. Is-sekondi jsiru minuti. Isiru sigħat. Ġranet. Xhur. Snin sħaħ. Deċennji, sewwasew.

Il-Prof. Edward Fenech wirithom mingħand il-Prof. Ġużè Aquilina, imma ġara li l-kaxxi u ta’ ġo fihom ingħataw il-ġenb għal ħafna żmien. Parti ġmielha mill-istorja lingwistika u kulturali tagħna konna bil-mod il-mod qed nitilfuha minn taħt imneħirna.

Mistura fil-kaxxi nstabu r-reel-to-reels li l-Prof. Aquilina, missier il-Lingwistika Maltija, kien uża biex jimmortala l-ilħna bil-kisra djalettali ta’ bosta kelliema minn lokalitajiet differenti f’Malta u Għawdex. 

Illum, kulma jmur qed nagħrfu u napprezzaw il-ġmiel ta’ mużajk li jsawru d-djaletti tal-gżejjer Maltin. Iżda, sa ftit snin ilu, min jitkellem bid-djalett aktarx li kien jitqies ta’ klassi baxxa. Ħtija tal-preġudizzju, xi wħud ippruvaw jinfatmu minn dan l-aspett ewlieni tal-identità kulturali tagħhom. Il-preżenza tad-djalett qajl qajl bdiet tiddgħajjef. In-nies tħalltu fiż-żwieġ, u magħhom tħalltet il-lingwa. Min mar joqgħod f’raħal ieħor kien espost għal djalett differenti, u t-tfal bdew imorru l-iskola u jitgħallmu l-Malti standard, ‘il-pulit’, sajjem minn xi karatteristiċi li jżewqu t-taħdit.   

Il-Prof. Aquilina minn kmieni għaraf li ħaġa daqstant sabiħa ma kellniex nerħuha tiżolqilna minn idejna (jew ħalqna f’dan il-każ), u fis-snin sittin u sebgħin, irħielha lejn xi rħula Maltin u Għawdxin, idur bir-reel-to-reel recorder, jitħaddet man-nies dwarhom infushom, dwar is-snajja’ tagħhom, u dwar it-tradizzjonijiet li wirtu bil-fomm u bl-id. Bil-mikrofonu kien qed jaqbad il-ħsejjes u l-forom tad-djaletti, imma mhux biss. Ma’ kull intervista, kien qed jiddokumenta stil ta’ għajxien li llum jinħass tant ’il bogħod. Bl-għajnuna ta’ Benedikt Isserlin mill-Università ta’ Leeds ġabar 92 audio file b’madwar 50 siegħa taħdit djalettali, mhux kollu tal-istess kwalità. Bil-materjal miġbur, Aquilina u Isserlin fl-1981 ħarġu pubblikazzjoni li tittratta elementi fonoloġiċi tad-djaletti. Daqs tletin sena wara, John Paul Grima sema’ l-audio files wieħed wieħed, u b’reqqa kbira ddokumenta u kkataloga l-ħidma fit-teżina tal-Baċellerat tiegħu.

Fost l-ilħna li ltaqa’ magħhom Aquilina, hemm tal-iskarpan mill-Għarb, li, hu u jmertel il-ġild, jispjega l-proċess tal-ħjūta bl-aktar ġild fin Ingliż. Tħaddet mal-għaġġiena mix-Xagħra, li tispjega kif ħobża titwieled mid-dqiq, tingħaġen u tinħadem sakemm issib ruħha fuq it-tilar, lesta biex tinħema. Tkellem mar-raħħala Żurriqija fuq kif iġġiżż in-nagħġa biex tħaffilha s-suf, fuq nagħġa żgħira li għad ma kellhiex ħaruf (għabura), u n-nagħġa li qatt ma kellha (ħawlija). Skopra kif ix-Xlukkajri jaħslu l-ħwejjeġ bl-ilma salmastru fil-Fawwara tal-Ħasselin, u sema’ kif tinħadem u titħejjet il-bizzilla f’Ta’ Sannat, skont il-bixra li l-lingwa tieħu f’kull post.

Dan il-materjal prezzjuż inżamm f’kaxxi li maż-żmien għoddhom intesew. Kien b’kumbinazzjoni li wara ħafna snin ir-reel-to-reels sabu ruħhom fl-istudio ta’ Anthony Baldacchino. U minn hemm, fuq l-inizzjattiva tal-Prof. Alexandra Vella, beda l-proċess biex il-materjal maħżun fihom jiġi ddiġitalizzat. Xejn ma kien faċli li l-kontenut tar-reel-to-reels l-antiki jinqaleb f’format diġitali. Illum, l-ilħna tal-imgħoddi f’dan il-format, ftit ftit qed jittellgħu fil-portal tar-riċerka malti.mt, li d-Dipartiment tal-Malti se jniedi fix-xhur li ġejjin, ħalli jkunu aċċessibbli għall-istudjużi u għal kull min għandu interess fid-djaletti, is-snajja’ tradizzjonali, u b’mod ġenerali l-ħajja fl-ewwel snin ta’ wara l-Indipendenza. 

Bis-saħħa ta’ dan il-proġett, ikkoordinat mill-Prof. Alexandra Vella, il-Prof. Ray Fabri u Dr Michael Spagnol, dan il-felli tal-istorja tagħna jista’ jitgawda mill-pubbliku u jiġi studjat mir-riċerkaturi ħalli nifhmu aħjar il-qagħda lingwistika tant rikka fil-gżejjer żgħar tagħna. Għax dawn l-ilħna jsawru ħolqa f’katina li tixhed li, għalkemm minn fuqhom m’għaddewx aktar minn ħamsin sena, il-ħsejjes, ir-rakkonti, l-għerf u d-drawwiet li fihom inewlulna pinzellati minn ħajja li m’ilha xejn imma ilha ħafna.

Is-Siġġiewi – 1977
Iż-Żurrieq – 1966
L-Għarb – 1977
L-Għasri – 1964

What’s your Face Worth?

AI and Facial Recogntion

While most European citizens remain wary of AI and Facial Recognition, Maltese citizens do not seem to grasp the repercussions of such technology. Artificial Intelligence expert, Prof. Alexiei Dingli (University of Malta), returns to THINK to share his insights.

The camera sweeps across a crowd of people, locates the face of a possible suspect, isolates, and analyses it. Within seconds the police apprehend the suspect through the capricious powers of Facial Recognition technology and Artificial Intelligence (AI).

A recent survey by the European Union’s agency for fundamental rights revealed how European citizens felt about this technology. Half of the Maltese population would be willing to share their facial image with a public entity, which is surprising given that on average only 17% of Europeans felt comfortable with this practice. Is there a reason for Malta’s disproportionate performance? Artificial Intelligence expert, Prof. Alexiei Dingli (University of Malta), returns to THINK to share his insights.

Facial Recognition uses biometric data to map people’s faces from a photograph or video (biometric data is human characteristics such as fingerprints, gait, voice, and facial patterns). AI is then used to match that data to the right person by comparing it to a database. The technology is now advanced enough to scan a large gathering to identify suspects against police department records. 

Data is the new Oil

Facial Recognition and AI have countless uses. They could help prevent crime and find missing persons. They are prepared to unlock your phone, analyse, and influence our consumption habits, even track attendance in schools to ensure children are safe. But shouldn’t there be a limit? Do people really want their faces used by advertisers? Or, by the government to know about your flirtation with an opposing political party? In essence, by giving up this information, will our lives become better?  

‘Legislation demands that you are informed,’ points out Dingli. Biometric data can identify you, meaning that it falls under GDPR. People cannot snap pictures of others without their consent; private data cannot be used without permission. Dingli goes on to explain that ‘while shops are using it [Facial Recognition Technology] for security purposes, we have to ask whether this data can lead to further abuses. You should be informed that your data is being collected, why it is being collected, and whether you consent or not. Everyone has a right to privacy.’

Large corporations rely on their audiences’ data. They tailor their ad campaign based on this data to maximise sales. Marketers need this data, from your Facebook interests to tracking cookies on websites. ‘It’s no surprise then,’ laughs Dingli, ‘that Data is the new oil.’ 

The EU’s survey also found that participants are less inclined to share their data with private companies rather than government entities. Dingli speculates that ‘a government is something which we elect, this tends to give it more credibility than say a private company. The Facebook-Cambridge Analytica data breach scandal of 2018 is another possible variable.’ 

China has embraced Facial Recognition far more than the Western World. Millions of cameras are used to establish an individual citizens’ ‘social score’. If someone litters, their score is reduced. The practise is controversial and raises the issue of errors. Algorithms can mismatch one citizen for another. While an error rate in single digits might not seem like a large margin, even a measly 1% error rate can prove catastrophic for mismatched individuals. A hypothetical 1% error rate in China, with a population of over 1.3 billion, would mean that well over ten million Chinese citizens have been mismatched.   

Is privacy necessary?

‘I am convinced that we do not understand our rights,’ Prof. Dingli asserts. We do not really value our privacy and we find it easy to share our data.’ Social media platforms like Facebook made its way into our daily lives without people understanding how it works. The same can be said for AI and facial recognition. It has already seeped its way into our lives, and many of us are already using it—completely unaware. But the question is, how can we guarantee that AI is designed and used responsibly?

Dingli smiles, ‘How can you guarantee that a knife is used responsibly? AI, just like knives, are used by everybody. The problem is that many of us don’t even know we are using AI. We need to educate people. Currently, our knowledge of AI is formed through Hollywood movies. All it takes is a bit more awareness for people to realise that they are using AI right here and now.’

Everyone has a right to privacy and corporations are morally bound to respect that right, individuals are also responsible for the way they treat their own data. A knife, just like data, is a tool. It can be used for both good and evil things. We are responsible for how we use these tools. 

To Regulate or Not to Regulate?

Our data might not be tangible, but it is a highly valued commodity. Careless handling of our data, either through cyberattacks or our own inattention, can lead to identity theft. While the technology behind AI and Facial Recognition is highly advanced, it is far from perfect and is still prone to error. The misuse of AI can endanger human rights by manipulating groups of people through the dissemination of disinformation.   

Regulating AI is one possibility; it would establish technical standards and could protect consumers, however, this may stifle research. Given that AI is a horizontal field of study, fields such as architecture and medicine must consider the implications of a future with restricted use. An alternative to regulation is the creation of ethical frameworks which would enable researchers to continue expanding AI’s capabilities within moral boundaries. These boundaries would include respecting the rights of participants and drawing a line at research that could be used to cause physical or emotional harm or damage to property. 

While the debate regarding regulation rages on, we need to take a closer look at things within our control. While we cannot control where AI and Facial Recognition technology will take us, we can control whom we share our data with. Will we entrust it to an ethical source who will use it to better humanity, or the unscrupulous whose only concern is profit? 

Further Reading:

The Facebook-Cambridge Analytica data breach involved millions of Facebook users’ data being harvested without their consent by Cambridge Analytica which was later used for political advertising; 

Chan, R. (2019). The Cambridge Analytica whistleblower explains how the firm used Facebook data to sway elections. Business Insider. Retrieved 8 July 2020, from https://www.businessinsider.com/cambridge-analytica-whistleblower-christopher-wylie-facebook-data-2019-10.

Malta’s Ethical AI Framework;Parliamentary Secretariat For Financial Services, Digital Economy and Innovation. (2019). Malta Towards Trustworthy AI. Malta’s Ethical AI Framework. Malta.AI. Retrieved 8 July 2020, from https://malta.ai/wp-content/uploads/2019/10/Malta_Towards_Ethical_and_Trustworthy_AI_vFINAL.pdf

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